{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "77fbe42e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "40d5a6fd",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
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       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
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       "  </thead>\n",
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       "      <td>4.16</td>\n",
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       "      <td>68</td>\n",
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       "      <td>74</td>\n",
       "      <td>206</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>76</td>\n",
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       "      <td>0</td>\n",
       "      <td>4946</td>\n",
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       "      <td>76</td>\n",
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       "<p>477 rows × 17 columns</p>\n",
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      ],
      "text/plain": [
       "     班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0     1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1     1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2     1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3     1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4     1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "..   .. ..      ...        ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "472  17  男     4.23         68   8.27       72  208     66    10      72    0   \n",
       "473  17  男     5.19         40   9.55       50  210     66    15      80    6   \n",
       "474  17  男     3.25        100   7.50       80  252     90    13      76   13   \n",
       "475  17  男     4.39         62   7.81       76  208     66    14      78   11   \n",
       "476  17  男     0.00          0   0.00        0    0      0     0       0    0   \n",
       "\n",
       "     男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0        0  2785      62  170  72.599998  25.120001  \n",
       "1       60  3133      68  174  52.700001  17.410000  \n",
       "2        0  3901      80  169  46.500000  16.280001  \n",
       "3        0  4946     100  183  79.699997  23.799999  \n",
       "4       68  3538      74  171  54.700001  18.709999  \n",
       "..     ...   ...     ...  ...        ...        ...  \n",
       "472      0  4647     100  176  69.500000  22.440001  \n",
       "473     50  7042     100  177  76.000000  24.260000  \n",
       "474     85  5755     100  181  65.000000  19.840000  \n",
       "475     76  5688     100  172  51.700001  17.480000  \n",
       "476      0     0       0    0   0.000000   0.000000  \n",
       "\n",
       "[477 rows x 17 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_boy = pd.read_excel('./体测分数_男生.xls')\n",
    "data_girl = pd.read_excel('./体测分数_女生.xls')\n",
    "data_boy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "88cc7d9d",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
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       "      <td>74</td>\n",
       "      <td>9.67</td>\n",
       "      <td>68</td>\n",
       "      <td>165</td>\n",
       "      <td>70</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>1829</td>\n",
       "      <td>60</td>\n",
       "      <td>154.0</td>\n",
       "      <td>43.599998</td>\n",
       "      <td>18.379999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.48</td>\n",
       "      <td>50</td>\n",
       "      <td>9.09</td>\n",
       "      <td>74</td>\n",
       "      <td>180</td>\n",
       "      <td>80</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>2962</td>\n",
       "      <td>85</td>\n",
       "      <td>162.0</td>\n",
       "      <td>55.299999</td>\n",
       "      <td>21.070000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0     1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1     1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2     1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3     1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4     1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "..   .. ..     ...       ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "588  17  女    3.51        78   9.60       68  150     60    24      95   41   \n",
       "589  17  女    4.00        76  10.18       64  150     60    13      72   36   \n",
       "590  17  女    3.45        80  10.18       64  152     62    15      76   35   \n",
       "591  17  女    4.01        74   9.67       68  165     70    10      68   41   \n",
       "592  17  女    4.48        50   9.09       74  180     80    10      68   46   \n",
       "\n",
       "     女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0       85  3775     100  163.0  51.299999  19.309999  \n",
       "1       66  3683     100  163.0  66.599998  25.070000  \n",
       "2       76  3331     100  157.0  60.000000  24.340000  \n",
       "3       85  3701     100  160.0  50.700001  19.799999  \n",
       "4       70  3592     100  167.0  63.900002  22.910000  \n",
       "..     ...   ...     ...    ...        ...        ...  \n",
       "588     78  2255      70  158.0  49.000000  19.629999  \n",
       "589     72  2937      85  161.0  55.700001  21.490000  \n",
       "590     72  2592      76  165.0  48.599998  17.850000  \n",
       "591     78  1829      60  154.0  43.599998  18.379999  \n",
       "592     85  2962      85  162.0  55.299999  21.070000  \n",
       "\n",
       "[593 rows x 17 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_girl"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba531970",
   "metadata": {},
   "source": [
    "### 对男1000米跑、男引体进行等宽分箱操作，分成3份，并使用饼图绘制百分比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "97a092c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "06ffdc88",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3.647, 5.47]        261\n",
      "(1.823, 3.647]       195\n",
      "(-0.00547, 1.823]     21\n",
      "Name: 男1000米跑, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '男生1000米跑成绩')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1km跑等宽分箱\n",
    "data_1km = pd.cut(data_boy.男1000米跑,\n",
    "                  bins = 3)\n",
    "cnt_1km = data_1km.value_counts()\n",
    "print(cnt_1km)\n",
    "# 饼图\n",
    "plt.pie(cnt_1km,\n",
    "       labels = ['较差','中等','优秀'],\n",
    "       textprops = {'family':'SimHei','fontsize':15},\n",
    "       autopct='%.2f%%')\n",
    "plt.title(label = '男生1000米跑成绩',\n",
    "          fontdict = {'family':'SimHei','fontsize':18},\n",
    "          pad = 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "da91c3eb",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(7.667, 15.333]    230\n",
      "(-0.023, 7.667]    227\n",
      "(15.333, 23.0]      20\n",
      "Name: 男引体, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '男引体成绩')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 引体向上分箱\n",
    "data_yinti = pd.cut(data_boy.男引体,bins=3)\n",
    "cnt_yinti = data_yinti.value_counts()\n",
    "print(cnt_yinti)\n",
    "# 饼图\n",
    "plt.pie(cnt_yinti,\n",
    "       labels=['中等','不合格','优秀'],\n",
    "       autopct='%.2f%%',\n",
    "       textprops={'family':'SimHei','fontsize':15})\n",
    "plt.title(label = '男引体成绩',\n",
    "          fontdict = {'family':'SimHei','fontsize':18},\n",
    "          pad = 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa8b0cad",
   "metadata": {},
   "source": [
    "### 对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "47bd70cf",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '女生800米跑分数')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 女生800米\n",
    "plt.hist(data_girl.女800米跑分数,\n",
    "         bins=4)\n",
    "plt.title(label='女生800米跑分数',\n",
    "          pad=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "7ebe49a2",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '女跳远分数')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.hist(data_girl.女跳远分数,\n",
    "        bins=4)\n",
    "plt.title(label='女跳远分数',\n",
    "          pad=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2d53f43",
   "metadata": {},
   "source": [
    "### 使用嵌套饼图对比男女生体重指数进行比例统计，分为正常、低体重、超重、肥胖(男女生体重指数参考如下)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "0549bd86",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       超重\n",
       "1       正常\n",
       "2      低体重\n",
       "3       超重\n",
       "4       正常\n",
       "      ... \n",
       "472     正常\n",
       "473     超重\n",
       "474     正常\n",
       "475     正常\n",
       "476    低体重\n",
       "Name: BMI, Length: 477, dtype: category\n",
       "Categories (4, object): ['低体重' < '正常' < '超重' < '肥胖']"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 男生BMI评分\n",
    "BMI_boy = pd.cut(data_boy.BMI,\n",
    "                 bins=[0,16.5,23.3,26.4,100],\n",
    "                 right=False,\n",
    "                 labels=['低体重','正常','超重','肥胖'])\n",
    "BMI_boy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "043657f6",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      正常\n",
       "1      超重\n",
       "2      超重\n",
       "3      正常\n",
       "4      超重\n",
       "       ..\n",
       "588    正常\n",
       "589    正常\n",
       "590    正常\n",
       "591    正常\n",
       "592    正常\n",
       "Name: BMI, Length: 593, dtype: category\n",
       "Categories (4, object): ['低体重' < '正常' < '超重' < '肥胖']"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 女生BMI评分\n",
    "BMI_girl = pd.cut(data_girl.BMI,\n",
    "                  bins=[0,16.5,22.5,25.3,100],\n",
    "                  right=False,\n",
    "                  labels=['低体重','正常','超重','肥胖'])\n",
    "BMI_girl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "05f6fe83",
   "metadata": {},
   "outputs": [],
   "source": [
    "cnt_BMI_boy = BMI_boy.value_counts()\n",
    "cnt_BMI_girl = BMI_girl.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "cb2ee8c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x27131769c10>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Jk3nqNOp2mvzG2/OFEOc3+PFlKeWqFtx3Ao4m89ne3q+hugWsdwshHgFwJYB/AhheN9wfwItQesM3LFF4yM8tNAOKEKI7gMENDmV5cbdtODaZ3+bDkHxGCPEygNsAOIUQX9SV3HS4ug+dp9X9KOHd31jDzkdM5omI2hHLbKhLqqsBrk/GnVB2FW2JhrPDze1E6pGUslZK+T6AkQDOAbC2wbABR2uVaxE4vdE7ymNQrmDUW+3FfbY183OHE0K8hKNderQ4dqfejtawxOuXus5CzeHMPBGRnzCZp67qpga3V7digV5Cg9ttSubrScWPUsppAOZAKRdqKBzAFiHEd0KIcU0fofMSQiQKIeZDaetZbz+8K/loXB8faPXyz+LoAmQngH9IKQNid14hxFVQSsrqveHlXZnMExH5CctsqMup24DorgaHPmnh/UMAdG9wyCfJfIPHj4RSS1/fa1xCWQNggDIrfR6A84QQPwB4Ukq5zZfP38GuEkJMavCzEUBfAANx7Iy8BUrSq7ahUmPbmvm5I0Q1uF3/+1oAXC6l/N7/4TQlhDgewLsNDn0jpVzu5d1ZZkNE5CecmacuRQiRBOBHKLPcALAbLW/z2AdH/3asUsrmtrX3mhDiwrqYzqs7JAHcAiWZfQvH9nY/B8pM/eK6uubOYBCOLgI+DcDMumMNE/l0AKdIKb0psQGUNorVdberABzyTaitI4TohmMXlAJAGYCTAyiRHwtgOY62lyzCsR+AmzOywW0m80RE7YjJPHUZQogzoNTG1ye+NgC3erG5VGMNd9tsc2IohAgRQlwqhNgCYDGUmWgAKAVwppTyv1LKfCnl3VAS27dxdAMgASUxTBNCLBBCJDbzXEYhRF8hRKwQIlQIoROtbK7vxe8l6n63UCFENyFEn7qrDi3hgrIAeBeAjwGcC2C0lPIvbx+gro1iWt2PaV60VWw3QggtlCS5YRlKHoDpUsq16vfyLyHE1VDWbcTWHaqB8u9QbWMqtfsfj6MLuQHvFikTEVEriQ58XyPyCyHEyQAeBzCjwWEXgGuklJ+34vHmAnik7sdvpZSNZ1m9eQwDgClQEvHLAMQ1OuULAPdLKQvd3H8wlA2nLmo0ZIVS1zxXSlmlcr+Gmw11hNuklO914PN3OCHEJQC+hDKZkgFlRj6zhY8xE8Cauh9/llKe6YO4BkLZB6Hhv+dqAOe56/QkhIgCcCmUWv9QKJuKXYejZWj7pZRD1e5LRES+wZp56nSEEDEApgI4GcrivaRGp+QCuEpK+XsLHzcEwIkA7mhweKOX9+0HZdfSSVCS+MlQ3/BoBZQ6+A2eHk9KeQDAxUKIKQDmAziubsgA4CEoM/gXexMb+ZeU8ishxAlQPojNllK2prWptsHtNr2OCyFGQimhuR6AvsFQHoAzpJRpqncEIKWsqmvxerqbU15vS2xERNQ8JvPUKQghroBSQz4WSstJtdKREiiz1m+pzVq7edwnoSQqPaCUv4Q0OuWHZu5/LZSymAgPp5mgzMS/K6Xc6k1c9aSU64QQKVB2kH0ayuxoCY7t+tL4uXZCqb1v+NXSUiNvaKC8xugAhEFZp1DWDs8TjB4H8E4rE3ng2H+HrX4dr+vbvxhAcqOhHwDcLKUs9uJhnkHTZN4G4IVA6cpDRNSZscyGOgUhRCyUWe0JjYZcAP6A0rFmkZTS1MLHTQCwA8f2la/3tJTyKS8eYx6aLh6sgNJW8RsAS6WU1Y3v11J1i2AXAvhASvlWWx+PApcQ4gIc3bzpbynllDY8VhSU0qvjoCx0fURKuaCFj7EPyofCPQCWAfhRSlna2piIiMh7TOap0xBC9IaSTIRDWcD3LYDFUso2tY4UQtwO4J26Hw9BScI/klKu8/L+UVASr0NQFmKuA7BNSulqS1xunssIwCmltDd7MgUtIcSVAD6r+3GHlPI4T+d78XiDAFwD4N+++GBJRET+w2SeOhUhxGQoi+582S4yEkqLxC1SynxfPS4RERFRWzGZJyIiIiIKUuwzT0REREQUpJjMExEREREFKSbzRERERERBisk8EREREVGQYjJPRERERBSkmMwTEREREQUpJvNEREREREGKyTwRERERUZBiMk9EREREFKSYzBMRERERBSkm80REREREQYrJPBERERFRkGIyT0REREQUpJjMExEREREFKSbzRERERERBisk8EREREVGQYjJPRERERBSkmMwTEREREQUpJvNEREREREGKyTwRERERUZBiMk9EREREFKSYzBMRERERBSkm80REREREQYrJPBERERFRkGIyT0REREQUpJjMExEREREFKSbzRERERERBisk8EREREVGQYjJPRERERBSkmMwTEREREQUpJvNEREREREGKyTwRERERUZBiMk9EREREFKSYzBMRERERBSkm80REREREQYrJPBERERFRkGIyT0REREQUpJjMExEREREFKSbzRERERERBisk8EREREVGQYjJPRERERBSkmMwTEREREQUpJvNEREREREGKyTwRERERUZBiMk9EREREFKSYzBMRERERBSkm80REREREQYrJPBERERFRkGIyT0REREQUpJjMExEREREFKSbzRERERERBisk8EREREVGQYjJPRERERBSkmMwTEREREQUpJvNEREREREGKyTwRERERUZBiMk9EREREFKSYzBMRERERBSkm80REREREQYrJPBERERFRkGIyT0REREQUpJjMExEREREFKSbzRERERERBisk8EREREVGQYjJPRERERBSkmMwTEREREQUpJvNEREREREGKyTwRERERUZBiMk9EREREFKSYzBMRERERBSkm80REREREQYrJPBERERFRkGIyT0REREQUpJjMExEREREFKSbzRERERERBisk8EREREVGQYjJPRERERBSkmMwTEREREQUpJvNEREREREGKyTwRERERUZBiMk9EREREFKSYzBMRERERBSkm80REREREQYrJPBERERFRkGIyT0REREQUpJjMExEREREFKSbzRERERERBisk8EREREVGQ0nV0AETUaWkA9ATQC0A4gNC6r7AGt739WQvABMBc92Vq9N2bYyUA8gHY2vOXJiIi8icm80TUGloACQD6AuhX973xVx8E3muMBFAEILfRV06D23kArB0VIBERUUsIKWVHx0BEgUcLYDCAkQD6o2nC3qvunM7qMJom+dkAdgBIB2f3iYgoQDCZJ+raBJREfVSjrxEADB0YVyCzA9gNYHujr5KODIqIiLomJvNEXYcWwFAAKQDG130fCyCqA2PqTPLQNMHfD8DZkUEREVHnxmSeqPMaCGA6jk3cwzsyoC7IDKU0pz65X1f33dWRQRERUefBZJ6o8+gJYDaAk+q++ndoNI04nC5YHC6YbU5YHU5Y7Mpti8MJi135Wfled9vhVMbtTrikhDFE2+BLg9C626EhWhga/GzUaRGq18BQNxaiDbgOvGUAVgNYWfe1H8rCXCIiohZjMk8UvKIAzMTR5H1URwRhsTuRX2FGYZUFBZUWFFYq3wsqzSis+7nSbIfD1TGvNVqNQLhBix6RRvSONiIhOhS9oo1IiDYe+d47OhRRoSEdEh+UxbWrcDS5z+uoQIio/aWmpmoB6Ds6DgoItpSUlDaXYjKZJwoeRgCTcTR5Px7t3FHG6ZLILjMht9x0JEk/8r3KjPwKJVHvDML1WiQcSfJDle9Rys99uoViYHwE9Dq/zPLvhZLUr4Iyg1/mjyclovaTmpoaCeBqACcDSOzgcCiwZAP4DcCnKSkp1a15ACbzRIFLC6XevT55nwYloW8XueUm7Cuqwb7Cauwtqsa+omocKK6B1cHybgDQaQQGdY/AiN5RGN4rCsN7RWJ4ryjER7Rr0x8JYCuOztz/AWUDLCIKEnWJ/DtarfYErVYbq9FoQqF0EiOSLpfL7HQ6y5xO5wYAd7QmoWcyTxRYNACmALgMwEVQ6uB9yuF0YX9xDXbkVWJnXiV25lVhf1E1qq0OXz9Vl9A90oARvaIwokGCP7B7BLSadnmvrgXwI4BFAJYDsLTHkxCR76Smpt6u1WrvMRqNvXr06FEYGRlZq9FoOEtCcLlcmurq6vDi4uIEi8VS4HQ630xJSXm3pY/DZJ6o4wkoJTOXArgEyqZMPuFySewtqsb23ArszK3EjrxKpBdWc7a9nRl0GgztGXlkBn9k72iM6RcNg86nVVFVAJYAWAjlEi03siIKQKmpqd/q9frpffr0KY+Nja3q6Hgo8JSVlUXl5eV1s9lsf6akpFzQ0vszmSfqGALAcVBm4C8FMMBXD3zwcA3WZZRi7YES/H2wFBWmzlHTHuyMIRpMSIrF1MFxmDIoHqP7REPju9n7cgDfQpmxXw2Al1mIAkBqaqoOwHqj0Zg8dOjQ/SEhIdx3gpqw2+3affv2DbFYLOkATmjpolhdO8VFROqGQ0neLwWQ7IsHLKqyYO2BEqzLKMW6AyXIr2TlRSCy2F3460AJ/jpQAmAvokJ1mDQgDlMGx2PqoDgM6RnZlofvBuDGuq/DABZDSez/AjetIupI9W2yBEtryB2NRiNxdB2FHsoeJV5jMk/U/gZCSd4vgzIb3yZVZjv+PqjMvK89UIqMwzVtDpD8r8rswC+7i/DL7iIAQI9IAyYPisPUwfGYMigOfbuFtfahuwO4re6rAMDXUEpx1oP97ImIAlGbXpuZzBO1jwgobciuh1IP32pWuxObMsuV5D2jBDvzKtFBLdupHRVXW7FkWz6WbMsHACTFhWHqICWxnzo4Ht3CW9WWuheAu+u+sgF8CuD9uttERNQJMJkn8q3BAO6AksRHt/ZBrA4nft97GD+lFeC3PUUw2Vgp0dVklZqQVZqNLzZmQ6sRmDIoDmcd1xtzRiUgunUbXCUCeBTAIwB+AjAfwC8AeOmfiCiIMZknajsNgFMB3AXgdLSyf7Dd6cLaAyX4cXs+ft1dhCoL1zCSwumS+HN/Cf7cX4LHvt+B6UO646zjeuGUET0RaWxxYq8BcE7d10EA/wHwIYAS30ZNRHQsq9UqDAYDry37GJN5otaLAnAdgDsBDGnNAzhdEusPluKntHws31mIcnaeoWbYnRKr0ouxKr0YBp0GJw7rjrOO642ThvdAmL7FL+kDAbwE4FkotfXzAGz0cchERCgtLdWeeuqpg6dPn179xhtv5NcfX7JkSaTFYtEYjUaXVqvevtdmswmLxSKSk5Ot48eP99jl4e2334679tpryyMjI10AsGrVqvDHHnusz8svv5w7bdq0TrnpHpN5opYbDqWU5lootfEttimzDD9uz8eyHYU4XGP1aXDUdVgdLqzYVYQVu4oQGqLFScN74KzjemPWsO4whLSop70ewJV1X+sAvAHgO7DFJRH5SFhYmMtoNLrefPPNXtHR0c6nn366CAD+9a9/JR44cMCr3c3vvffegvHjx+e7G9+wYUPoXXfd1f/rr7/u9vvvvx8AgJ49ezo2btwY+fzzzycsW7bsoG9+m8DCZJ7IO1oAZ0IppTm5NQ+wLacCP6XlY2laAQrYPpJ8zGx34qe0AvyUVoAIgw4nD++Js8f0wvQh3aHXaVryUFPqvrIBvAXgvwAqfB8xEfnT3r179cnJyaMbHtPr9TIpKcnyj3/8o/j+++8vAYCJEycO27RpU0RSUpI1MzNzZ/25l112WdKiRYviAUBKmdr48YUQKb1797bl5eXtUHv+0NBQuWzZsozp06cPffbZZ/sOHDjQeu2111Z89tlnBx0OB/R6vdRoNBBC4MQTT0weMmSI+YMPPsiSUsLpdAqr1Sp69erl8fL1c889lwAAjz32WEH9sZEjR1ovvPDCkq+++ir++++/jzzvvPOqW/LfLRgwmSfyrL5/9+1oxcZO5bU2LNqUgy82ZiO7rFNe3aMAVGN14Pttefh+Wx6iQ0Nw3rg+uOqExJb2sk8E8AqApwAsgFKCs9/30RKRP/Xq1ct20UUXlQJAdXW1dsWKFTH/+te/ksrLy7XPPfdcUf15OTk5hurqak19ucru3btD2/rcUVFRriVLlmRcfPHFA0eNGmUBgBNOOMFsMplEWFjYkVp6rVYrw8LCXPUlNYWFhVqLxaLp37+/22T+999/D1u6dGnsrFmzKk855ZTahmMvv/xy/s8//9zt1ltvHTBp0qRdCQkJnaqrRIuma4i6kBgAzwDIgpLQtCiR35VfiQcWb8ekF1bixeXpTOSpw1Sa7fh4XSZOef0PXPqfv/Hj9nzYHC1qYBMOZV1IOoBPAAxqjziJyD/69u1rmzdvXv68efPyFyxYkLN169bd3bp1c7z22mu9q6urj+SFLpcLW7ZsMdbfPnDgQJuTeQDo37+/fdOmTXtTUlIsAHDttdf2S05OHmm1Wt02j3j99de7Dxw48Lgnnniip9q4xWIRN998c3+NRiNfffXV3MbjSUlJ9ieeeCK3qKgo5Oyzzx5sMpl8tv12IGAyT3SsCAD/B+AQgMcBeD2V6XC68NP2fFw0fx3OnPcXvt6cC2vLkiaidrXhUBnu+nIrpry4Ei8vT0dueYs+ZGqg7J2wF0qv+sT2iJGI/Ktnz57OCRMm1JjNZs3mzZuPqV3fsmVLGADs3r3bYDabW50zVlVVaVwu9ffDCRMmmHJycgxvv/12nLv7L1myJFaj0cirrrqqXG38/vvv771///7Q6667rnjcuHGqdawPPPBAyRlnnFG+efPmiJNOOmlIaWlpixYWBTIm80SKUAD3Q0nin4cyM++Vw9VWzFu5H1NfWoU7v9yKzVmqrzVEAaOkxoZ312RgxsurcePHm7D2QIu6UmoB3Ayl5OYtKBtTEVEQs1gsGgCIiIhwAUDv3r1tvXr1sqWlpYUCwJYtW0IBYMKECS3ectxutyM6OnqcVqtNEUKkCCFSLr300qT68VtuuaUsLi7OMW/evASns2n1yx9//BG2d+/e0LPOOqt86NChtsbj3377bdR//vOfhMGDB1veeOONPE+xLF68+ND06dOr1q9fHzl+/Pjhq1atCm/p7xOImMxTV2eAUkKQAeDfAOK9veO2nArcu2gbpr64Cq/9ug9FVexKQ8HFJYGVe4px5X83YM4bf+CrzTmwOrwuJdVD+ds5COVvp3t7xUlE7Wf//v361NTUiNjYWMfIkSOPvJENGzbMvGfPnlAA2L59e2h4eLirX79+LX6j02g0uOuuuwoefPDBvIcffjgPAEJCQo7UxxsMBnnBBReUZmdnGxYtWtRks8XXXnutJwA89NBDhY3H1q5dG3rttdcONBgMrvnz52eGhITA3RUAQFmE+8svvxw455xzyrKzsw2nnnpq8pVXXplYWVkZ1PkwF8BSVxUCpbXkEwD6eXsnm8OFpTsK8PG6TGzLqWiv2Ij8Lr2wGg8uTsPLy9Nx5QlJuGpSErpHGry5qxHKVa1bobS0fBUAL08RBajc3Fz93Xff3RsAysvLdT/99FM3l8uFt99+O7PhItQRI0aYv/jii3gA2LlzZ9iQIUPMQrS81Fyr1WLevHlH2km++OKLffR6/TEbR1177bWlUVFRzpkzZ9Y2vv+4ceNq9Xq9a/LkyeaGx//666+wM888c2htba12wYIFGXPmzElWm9lX89hjj+WOGTPGNHfu3D7FxcUh9VckghWTeepqtACugNKhY6C3dyqvteGjdZn4YkM2+8JTp1ZSY8ObK/dj/poMnDO2N26bOQiDeni1nUI4gEehzNa/CuBNAFXtGCoRtUJBQYH+rbfeOqY87swzzyyfPXv2MSU0xx13nPndd9/VZWVlhezduzd0ypQpVVar1Scz2DqdTgJAdXW1xmaziZSUFMvUqVML1M598skniwGlXKempkZjMBhkWFiYHD58uHXixInVs2bNqrr22msrfv7555K69pbyk08+6dG7d2/baaedVtHwsfbu3Wtct25dVGJiou3mm28unz59es3IkSOt7jarChZM5qmr0AC4CMDTAJK9vVOVxY7//nkQH/6ViRor98+hrsPmdGFxai6+25qHc8f2xj9PGorEuDBv7hoNpRPUPVB2l30HANs5EQWI448/vmbjxo17ASArKyvk3XffjXvllVf6TJo0KXT79u176s8bP368CQB+//338JycHMPo0aPNmzdv9mmN+bPPPtvzlVde6a029tdff0UJIVIaH3/11Vez7rvvvpK4uDjnihUrMjQa5fPFokWLsgAgJydH98knn/SYNm1a1YcffpjT8L5PPPFEz3Xr1kUlJSXZAKBxC8tgxWSeuoI5UJKK47y9Q63VgY/WZeL9Pw6i0uxxjwqiTs3pkvh2Sx5+2JaPi1L64u6ThqB3jFcd6uIAvAylBOc5AO+BO8oSBZSkpCT7Sy+9VHjw4EHj4sWL4958880j68bGjh1rCQkJkQsXLox1uVwYN26cz5P5U089tSo8PNxpMBhkw9Kbxx9/vF/v3r1tt912WxEANNw4aurUqUcS8PpEvqG0tDQjACQnJzfpalNQUBACAImJiZ3qjZ3JPHVm/aDU8F7g7R2sdic+WZ+F99ZkoLS2yaJ5oi7L4ZJYuCkH323Nw2UTE3HnrEHoHunVDuw9oXS9uRnAbQDWtWecRNRy48ePr128eHFcenr6kT/qkJAQDBgwwLJs2bJuADBhwgTzBx984NPnNZlMmvoymoaeffbZPgkJCbb77ruvRa22AGD16tWRADB9+vQmnXcKCwtDAOVDTGviDVRBvXqXyI0QAA8A2AMvE3mbw4VP/s7EjFdW4/mle5jIE7lhdbjw8bpMTH9Z+Vsp8/5v5TgAawF8AGXWnogCxOHDh0MAICws7JiFoMOHDzcDQEJCgi0+Pt6nu6a+/vrr8eedd97QDz74oJuvHtPpdGLRokVxMTExjunTpzcp7ysuLg6JiYlxhIaGSrX7Bysm89TZTAewFcrl/WYvBzqcLizclI1Z/16DJ5bsYntJIi9Z7C588OdBTH9pFf79y15UeV+OdhOUjaduBN+DiDpcaWmp9quvvooDgMmTJx9TQz5q1CgToLSp9MVzORxKpd3y5ctj7r///qTp06dXXnLJJZW+eGwAmDt3bo/c3FzD5ZdfXmIwGJok7MXFxSE9evToVLPyAMtsqPPoASWBv9abk10uiSXb8/Hmb/uQWcq1eUStVWtz4u1VB/DJ35m4adpA3DBtACIMzb61xAH4L4AboJTepLV3nESkqG9N6XK5RGFhYcjKlSujKyoqdKNGjTJdffXV5e+9916P+nPHjh1rBoCRI0f6JJn/6KOPugFATk6O4aqrrjq8YMGCbJ3ON6noihUrIp5//vm+3bt3tz/33HNNOuO4XC4UFxfrU1JSWrzxVaBjMk/Brn43yhfg5a6tS9MK8MZv+7C/uNP9PRN1mCqzA6/9ug8L1h7CP2YOwrWT+yNU32y7tykAtgCYB+BJANXtHSdRV9ewNWVkZKQzMTHReu+99xbce++9JSEhIcecm5KSYgaA0aNH+ySZ37lzZygA3HPPPQVvvPFGvrvzpJQtamj//vvvd/vnP//ZXwghFy5cmBEbG9ukb/zChQujTSaTpjUbXwU6IWWnKhuirmU8gPkAJnpz8q78Sjz+/U5sya5o16CICOgZZcDjZ43AWcepdp1Tkw/gnwAWA+AbE3UKqampoQD+NBqNw5OTk9O1Wm2X/rftcrnwv//9r9vNN9/scWO5yMjIsaNHjzatW7dun6fzVq5cGf7ss8/2+v3336MjIyOdixYtOnD66acfM1N34oknDk5NTY2oqanRCiHw7bff7jvvvPMCauLA6XSK9PT0ZIvFsgfA9PoPUd5ivSIFoxgo3TE2wYtEvtpix1M/7MI5b69lIk/kJ0VVVtz5xVZc878NOFTiVSvn3gC+ArAMwOB2DY6IOoRGo0FziTwAmM1mjdlsbjZH3bRpU9jvv/8enZKSUrNp06bdjRN5ALjsssvKjEaj66STTqpYuHDh/kBL5H2BM/MUTASU3VtfhdLurlk/bMvDs0v34HB1p7uqRhQ0DDoNbp05CLefOAiGEK92WrQCeLHuq0mvaKJgwZn59rdy5crwk046Kag3f+LMPHUVfQH8AuAzeJHIZxyuwZX/XY+7F25jIk/UwawOF95cuR+nvvEHft/bpKW0GgOUGvqdAKa2a3BEFNSCPZH3BSbzFAwuhNLt4uTmTrTYnXhlxV6c/safWHugtP0jIyKvZZWacO2CTbjts1QUVHo18TQIwB8AngIbNhARqWIyT4EsHMoGM4sBNLupxMo9RTj5td/xzuoDsDmbLGQnogCxbGchTn71d3zw50E4mv9b1UCZpf8dQP/2jo2IKNgwmQ8yQoh+QoikRsduE0KkCyGSGxwzCCEu9X+EPpMCpWXdTc2dmFtuws2fbMaNH29GbrlPumcRUTurtTnx/NI9OOutv7A5s8ybu0wBsB3KuhkiIqrDZL6dCCGMQogwIYRXq70a3E9bd79QtTEAPwP4WQgR1WAoHMAwHNvO7WoAC4UQD7Qi/I6kAfAggL8BDPV0ot3pwvw1B3DKa3/g191FfgmOiHwrvbAaF//nbzzw9XaU1dqaOz0KwOcAPq27TUTU5TGZbz83AagF4BBCSG+/ADjq7ndP4weUUjoB/AvAcAALGgw5Gn4XQoQAeBjK4rG32u039L0+AH4F8BKAEE8nbskqx+lv/omXlu+F2e70S3BE1D6kBL5OzcXsV9fg68053tzlKgDbAExu18CIiIIAFxS1ny0AngFgA6CWbb5Qd87XjY5rAegBrK8/IISIA9C97scsAD8CWNmgrCa+7nv/ukT+PCgLx66oO1b/UIeklIHa2uV8KNu7x3o6yemSeHvVfsxbdQBOFzt8EXUmFSY7HlichpXpxXjxgtGICdN7On0AgD8BPA1gLtRfZ4mIOj0m8+1ESrkOwDp340KIFwDskFK+6MXD3QSl33JD56ic91ujn79o9PMIAHu8eD5/CgfwOoCbmzsxt9yEfy7chs1Zze43QURBbPnOQmzPqcDrl47FpIFxnk7VQpk0ORXKbH2WP+Ij8hGPn1aDQLN1ceQfTOaDQ/2OZkOklAdaemchxJ1Qym0CbfOV8VA+cAxr7sQftuXhse93osriaO5UIuoECiotuOKD9bh15iDce8pQhGg9VoVOg7I49lYAC/0SIFHb6AGM7ugg2mgHmNAHBNbMtzMhxEwhxHl15S+tFdbg8V5sSQ1+ww43AIxtiMGXNAAegFJK5DGRr7E6cN9X23D3wm1M5Im6GJcE3l2TgQvnr8Ohkmb3hYkG8CWAjwBEtndsRBSYDhw4ELJv375jrnq89NJL3QcMGDBy69atR/Igs9ksPvjgg2bbXgcDzsy3v2cAzAAQCsDeysf4AkptaA6Ozq6f38x9ZgO4q+78TwEsr7t/R4uE0o3i7OZO3JpdjnsWbkN2man9oyKigJWWW4mz5v2Jp84ZiYsn9Gvu9GuhLIw9G8C+dg+OiFrFZDIJp9MpQkNDXTqd9+mow+GA2WzWCCFkRESEbDx2xhlnDHG5XGLjxo17YmNjXQBQW1uryczMNGo0miPnz58/P+7+++9Pys7Ozn322WeDuiUek/n2Z2v0vaEhQojGfdS1UGbi361frCqlzAOQBwBCCFvdse89PakQIqbuplVKWQmgsjXB+1h/KIt3R3k6yemSeGf1AcxbuR8OLnIlIih96R9YnIY1ew/jhQtGIyrU48XOoQA2ALgYTdcSEVEAeOONN+IfffTRxNbe/5FHHsmbO3duYcNjOp0OL7zwQu7FF1885PLLLx+wYsWKjLrjsn4cAKxWq3jjjTcShgwZYn7kkUeK2/BrBAQm8+3PCQBSSrVtDqfUfalZAECt84wBABqVz6jpVfc9UBbYTAPwHY523lGVW27CvYu2YVMmF7kSUVNLdxRga3Y5Xr9sLE4Y4HFxbAyUK5J3A3jXH7ERkfeOP/540z//+c8CvV7v0mqbbsnzwgsv9BkxYoTp3HPPPSYhcDqdsNlsmilTphypvSssLNQWFBSEAMDAgQNts2bNqpg1a1ZVfVlNSUmJDgAOHDigt9ls4uuvv47JyckxvPfee4f27t1rqH+c5ORka2hoaNDNIgopgy7moCKEWA7gNCmlaHRcAvhYSnldo+NaKCU5tVLlf44Q4kUAD7UghGQp5d4WB+5b1wP4D5rpHf/j9nw8+t0O1sYTUbM0Arh91mD886Qh0HleHAsoyfw/0fpSR6JWSU1NDQXwp9FoHJ6cnJyu1Wrr39e5ALYZQoiUCy64oPSbb77JbO7cRx99NGHu3Ll92vqcqampu8aPH+/3ZiFOp1Okp6cnWyyWPQCmp6SktGg7e87MB5i6jaFqPIw/DGVDqCMadKsZIKXMbNcAW0YL4GUA93k6qcbqwJNLduKbLXn+iYqIgp5LAm+vOoC1+0vwxmVjkRQX7un026Estr8YAC/7UUC7aP46FFYFRvO5hCgjFt/mroAgcERERDgBYMeOHTtHjRrV4v105s6d2/3RRx9NDAsLU6uiCHhM5oOEEMIAZZMUNT3rvg8SQqh1rJEdMDsfBaWzxBmeTsosqcVNn2zGgWK3n1+IiNzamlOBs+b9hXmXj8Os5B6eTj0JSh392QA6+molkVuFVRbklrdoYjaoLV26NKKsrEx3ySWXVBoMhlaVi5hMpiOX526//fY+8+fPT/D2vlu2bNml9jjBhMl88EhC8xs+uVvoVQP/tmobCOAHACM9nfR3Rilu+zwVFSZe+Sai1qu2OnDjx5vwf2cMx03TB3o6dQiUhP4SAL/4JTgi8uipp57qs3nz5ogLL7xwS2sf44Ybbig78cQTawYNGmQzGo0SAD755JMMT/dZuXJl5Mcff9wjLCzM9Y9//KPsnHPOqRo0aFBQ9s1nMh886i8bPSCl/HfDAU9lNkKIhQBm+iVCxUwA3wDwuDLt8/VZePKHXexWQ0Q+4ZLAc0v3YH9xDZ47b5SnTaaiAfwMpYb+HQB8ESLqQCEhIS4AUJuVP3TokPG11147pnGG0+mEyWTSPPjgg4frF6sOGDDAPmDAADsA6PV6FwBcffXVFZ6et7y8XPvxxx/DaDTKuLg4Z1xcnNNHv5LfMZkPHm2p4/LXP9CbAMyHh39XTpfEMz/txsfrMv0UEhF1JYs25SCzpBbzr0pBbLjbZl5aKBMgI6F0u+HlQaIOUt/JRq2jzdatW8O3bt2quiDmjjvuKA0NDW2S31itVk3dfT1ulFnf/cZqtQpP5wUDJvPtQAjxFJQWjA4AyXXH3lA5daLKcR2Uri96AM9IKQ/VHW/6r9z98/eEUrMeC2AC1Ftc+pIWwL+hzHS5VWW2444vtuDP/SXtHA4RdWUbDpXh3Hf+wv+uPR5De3qsMLwVRxfGlvolOCLymlo3G4fDgdraWk1kZKTqJGd9cj5+/HiPpb71zGYzk3lSdSaUTUscUC7hlgK4qtE5pQB6qBwXUP6/hAJ4G0B9Mh/q4fnqp5/qryuPA7Cs7rYE8EjLwm+RKAALAZzu6aRDJbW46eNNyDjc7JbsRERtllNmxgXvrsO8y8dhtueFsbOg1NGfBSDdL8ERUavpdDpER0e7rVZ499138959991j2uPVd6tJT0/fMWzYsKCsi/eEyXw7kFIe3w4PewBAPwAVKmPhjb7/BqUXfTaAP+t2kG0P8VA2ZUnxdNLaAyW4/fMtqDTzSjYR+U+N1YGbPt6ER84Yjps9L4wdBOBPACcD2O6X4IjcSIjyWB3iV4EUS3PMZrNIT083qI0VFRWFAEB6erpBrWONRqORY8aMae8qhnbDZD5ISCntAHLdjD0L4NkGPzug9HdvT32gdIMY4emkT//OwtM/cqErEXUMlwSeX7oH+4uUhbF6nduFsfEAVgM4DcAmvwVI1Egw9HUPRPv379c3V1pz3nnnDVU7HhYW5qqtrd3aPpG1v6Dsp0kdbiCUWSy3ibzD6cLj3+/E40t2MpEnog731eYcXPW/DSit8Tj51g3ASgDT/BMVEflKfUvKxx9/PFdKmdrw6/nnn88GgPT09B2Nx84888zysLCwoO1kAzCZp5YbCeAvuN/ACpVmO65bsAmfrs/yX1RERM3YeKgM576zFnsLqz2dFglgBYDZ/omKiHxBo9G0euZQownudJhlNtQSE6DUyLvtIZ9dasJ1CzbiYAkXuhJR4MktN+PC+evw7pXjMWNod3enhQFYCuACHG0mQEQ+ct999/UuKSnR6XQ6efDgQSMA3HDDDf0an7dt27bwxscdDodwOBzCZrOJ5557Lj85OdkGAE6n0+uuNDk5ObqKigrt4cOHdWlpaWH1vemDFZN58tZ0KG9ubvu87S+qxlX/24CiqqBdQ0JEXUCN1YGbP9mMt68Yj1NG9HR3mhHAEgCXAvjOb8ERdQG//PJLdFZWlkGr1UIIIWNiYhzfffddbMNzYmJiHGVlZbrGx6WUwul0wmKxaO65557i+mS+trbW7fS6zWbTAMqGUwCwYcOGsIsvvngIAAgh8Mgjj7RXoxC/YDJP3jgRSiIf5u6EtNwKXPvhRpSb2LGGiAKf1eHC7Z+n4o1Lx+HM43q5Oy0EwNdQWggv9FtwRJ3czp079/j6MUeOHGk9cOBAWnx8fJP69/pEv6amRgsA5557btWjjz6am5iYaDvllFNq6nePDVZCSi5OJI9mA/gJHvrcbzhUips+2oxqq8N/URER+YBWI/DKRcfhgvF9PZ0mAdwA4CO/BEWdRmpqaiiAP41G4/Dk5OR0rVbbMOlyu0VxkOh0/do7itPpFOnp6ckWi2UPgOkpKSnmltyfM/PkyUkAfoSHRH7N3mLc+lkqLPagLjcjoi7K6ZK4/+vtsNhduOKERHenCQALoLwWzvdbcNTZMRkmnwju5bvUnk5FMzPyP6Xl4+ZPNjORJ6KgJiXwf9/twIK1h5o79V0A9/ohJCIirzGZJzVzAPwAZQGYqm+35OLuL7fC7mSZFhF1Dk//uBvz1xxo7rTXADzqh3CIiLzCZJ4aOxVKBwfVLZEBYHFqDv719XZwLygi6mxeWr4Xr/+6r7nTngPwhB/CISJqFpN5auh4AN/Cw6KcRZty8ODiNCbyRNRpvblyP174udlmG08D+IcfwiEi8ojJPNUbDKX9ZLi7E77YkI2Hv2UiT0Sd33/+OIgnluxs7rR3AZzrh3CIiNxiMk8A0BPKzq5ut0P8bH0WHv1+B9jJlIi6ik/+zsJD36TB5X4GQwOl//xU/0VFRHQstqakCCgz8oPcnfDJ35l4Ysku/0VERBQgFm3KgdXuwmuXjIFGo7pbvBFKC9+pAHy+EQ51auwzTz7BZL5rCwGwGECKuxO+35qHJ39gIk9EXdf32/IQYdThufNGuTulG4AVACYDCOpt4clv9ABGd3QQbbQDTOgDAstsui4B4L8ATnN3wl/7S/DA4u0srSGiLu+z9Vl4a9V+T6f0A7AMQIxfAiLqRCorKzXl5eXMSVuJM/Nd11wA17gb3JVfiVs/S2UfeSKiOq/+sg89o4y4ZEI/d6eMBvA9lL06LP6KiyjYzZ49e0hNTY127969u9vrOcxmszh06FBIRkaGYe/evYa0tLSwzZs3h7/++us5p512Wk17Pa8/MJnvmu4E8LC7wZwyE677cBNqrA4/hkREFPj+79sdiI8wYHZyD3enzATwKYDLADj9FhhRENPr9dJoNB6znfwTTzzR87XXXuut1+tdGo36pH1mZmZaRESEBIDS0lLtjTfemGiz2YTFYtHU1tZqamtrtVVVVdqKigpddXW1tuF9Q0NDXfHx8fZ58+b1mDlzZq3RaAza2Usm813PRQDmuRssq7Xhmg834nCN1Y8hEREFB4dL4o7Pt+DLm0/A2MRu7k67CMAbAO4GELQJAlF7WrZsWYTBYJB6vV7abDZhtVo1q1evDrNYLJo+ffrYZ8yYUSOEyNdoNPKpp57qN3Xq1KoLLrigHAAWLFjQ/cCBA8b6RB4A4uLinDExMY7c3Fx9fHy8ffDgwc7Y2FhHTEyM87fffotauXJlzP/+97+DEydONCUmJtqjoqJc7qMLLkzmu5aZAD6HUi/fhNnmxA0fbcKhklr/RkVEFETMdidu+HgzFt86GQO7R7g77U4oi2Ff9F9kRMHjwgsvHGI2m4+Zcp89e/ZwALj55puL3n///dyTTz65dt26daFPPfUULrnkkrK77767FACWLl0aXVxcHFJ/v8rKSo3BYJAffvhhjtosfnFxccjKlStjpk6dWjts2LAmi3YdDgfMZrNGq9XKsLCwoPsAzmS+6xgNYAnctMJyOF2444st2JZT4degiIiCUf1VzG9vm4IeUUZ3p70AoADAx/6LjILeh6cBVfkdHYUiqjdww4p2eeivvvrqgMFgcOl0Ovmvf/2rX21trfbtt9/OMpvNmqSkpCMJ98KFC7sBwMyZM4/UtZtMJm1ERMSRMrYZM2YMTUtLc7vpZb3k5GSPHYQeeOCB/Jdffrmgdb9Rx2Ey3zXUd1mIdnfCo9/vxKr0Yv9FREQU5HLLzbj+o01YeMskRBpD3J32PwBFUDbmI2peVT5Qkd3RUbS7s846q7r+dlRUlBMATj755GNKA/Ly8nSffvpp9/Hjx9eMGTPmSP1vbW2tpmEy/8gjjxRUV1drDAaDFKJp8cGiRYtily5d2u2VV17J6tmzZ5MFgU6nE2azWTN27Fizj349v2Iy3/mFAvgBQB93J7z2614s2pTT7AM5KouQ996NHs8JH3US4s+8t8lxp6kS+f+9DZHjz0TMtCubfS5vWLLSULTw/9Dz8rkwJh6nxFhThpLvX4SjugTdz3kAhj7Dj5xftfE7RI4/E0IX7Pt0EFGg2JVfhVs/S8WC6yZCr1NdpKcFsAjKfh4H/BocUYDKyMgIycrK0huNRpdOp0NNTY3WbDZr1q1bF2q1WoXNZtMcf/zxposvvnhgRUWF7pFHHimw2+3IzMzUp6WlGffv3x968sknV9Q/3mWXXVbp6fm2bt0atnTpUpx99tlVamU2wY7JfOf3NoCx7ga/2JCFeSu9e3/RGMIRNflS1TFnTSlqd/wGbZj65H/56v/BZa7y6nm8IR12lP7yTpPjlesWwVlbBl10D5Qufxu9b1TOcZoqYcndhaiJ5/ssBiIiAFh7oBT/+no75l0+zt0pUQC+gbKplMlvgREFqI8//jj22Wef7dv4+NSpU0fU3x4yZIh5//79oddcc03xRRddVGUymcSkSZOGl5WV6QwGg7z99tsPqz22TqdLcTrVG0mpldnMmjWrctWqVUH9QZvJfOd2I4Ab3A3+ursQjy/xfndXjTEC3WZcrTpWuuJtCJ0ekRPOaTJmyUpD7c5VXj+PNyr//gqOsqYbLdoK9yFy3Bkw9BuFwk/uh8tuhSbEgJrtKxA5Zo5PYyAiqvfD9nx0jzTg8bNGuDvlOADzAVwHdrihLu6mm24qPf3006sMBoPU6XTyl19+iXzggQeSvvzyywNDhgyxmkwmDQB89dVX3d588808AAgLC5NPPPFErtPpFJdddllF7969VftnGwwG15QpU6pefvnlI0nC66+/3uPTTz/t/v333+9LTEy01x+fOXNmclhYWNB3tWEy33mNA9B06rpOalY57vpyK5yutr+nOCqLUZP2GyJTzoIuMv6YsfoZdG1kdzirVT9Et5i9NBeVG75WfUyXuQYaYyQ0oVEAJFyWagiNFpasbYiadLFPnp+ISM3//jqEhGgjbp4+0N0p1wBYC+B9/0VFFHgSExMdABAdHe2Kjo527dq1ywgAgwYNsqakpBzZcG358uVR/fr1azKb/uqrr/aKj4+3b9++Pb3xmE6na1Fio9Fogv7DNZP5zqkblEu6BrXB/Aozbv5kMyx233wYrVy3EEKrQ7RKslw/g979oidxePHTPnk+5SqAAd1OvBYlP/67ybiULkAe/d1Me9cibOhUqC2KISLypRd+3oNhPSMxY2h3d6e8BWALgM3+i4oo8Dz11FO9Pvroox7ffPPN/vpjpaWluszMzBApJQYMGGA3m82a/Px8/V133XVMh5nly5fHlJSUuF11/ttvv8WMHz8+pvHx8847b6hPf4kAwWS+89FAaYM2QG3Q5nDhjs+3oKzWN+s/nLUVqNm1CpFjTmtSL28vzUHlhq8RNnwGwgYd75Pnq0n7BdacnYg97Q5oI2KbjGtCI+Cy1MBlrgYgoDFGombnSnQ/7/988vxERJ64JHDPwq346e7p6BMTqnaKHsBiAOMBlPk1OKIAYrFYNFJKTJs2rfa3336LAIDTTz99GAAcd9xxtdu3b08PCQlxAcC8efOO6dV57rnnGrZv367aitLhcIgzzjijfP78+UdaAj333HMJH3zwQc81a9bsGTBgwJEEKCkpaYzL5Qr6mT4m853PgwDOdjf4/M97sNWHveSrty8HnA5Ejj+ryVjpinegCQlF7Em3+OS5nKZKlK/5CIZ+oxAxZg6sOTuanKNPGIKabcthztiEkPh+sB/OhD4+CRq92z7QREQ+VW6y4/bPUvH1rVPcdbhJAvAZgLMABH29LvlYVO+OjuCodoylpKREFx0d7ezevfuR1apPPPFEbq9eveyRkZFOAFDbAKpeSEiIanmM1WrV/Pzzz92SkpKabNF84oknDm98zGw2M5mngDILwPPuBn/YloeP12X67Mmky4marctgTBqDkLh+x4zVz6DHnXkvtOExPnm+8lX/hbRbEDfnLrclM9GTL4W96CAclUWIP/sBVG/5CTHTr4YlZydsRQcRcdwp0OhVZ8soAGg1AjGhIYiL0EOv00Cv1SBEpwGkhNnugtnmhNnuhNnmhMXuhM3pgt0Z9OWO1Altz63EMz/uwnPnu92j5nQAjwJ41n9RUVBop02aAk1mZqbB5XIhIyPjSLnMWWedVXn88ccfqZl3udx/1nU3VlhYuK3xsSeeeCJh/vz5CevXr989aNCgY0oT9Hp90L+JMJnvPPoAWAilzKaJ/UXVePjbpjPZbWHO2ARnTSm6zTq2YU79DLqx/zhEjDrJN8+VtR21u1YjZsY1CIl12zIfusg4JFyt1NE7qksgnQ7YS3NQ/PVTACRMe9ci4cqXfBITNc+o02BE7yiM6hONwT0ikBQbhrgIA6JDQxBh1MGo00Cn0UCjEdAItGpdg0tKuFwSDpeE1eFCtcWOCpMdh6utKKy0ILu8FvsKa5CaVYYKs2rzA6J28dmGbIxP6oYLxjfpwFfvaQAbAPziv6iIOp7JZBIHDx40AsBJJ5007JprrlHtkGGz2TQAIIRIaTzWt29fa+Njq1atCjcajS69Xi+1Wu2R4zU1NVoAKCws1DVM3h0OB6xWq0aj0cgpU6YE5YZRAJP5ziIEyqYkPdQGa60O3PrZFphs6n1XW6t2zx8QOj1CB0885nj5qv9COmyIm3OnT55HOmwoW/EOQnoMQNQJF3p9v+qtPyNy/Jmo3bkKoYMmIGrSRSj6/CE4qkuadN2h1hMCmDQgDpMHxWFU7ygM6B6O+AgDwvRaaD1cIvUVjRDQaAV0WsAYokV0aAj6Nrm4qnC6JMw2B8pqbThYUou03EqsPVCCzVnlPunsRNTYo9/txIjeUUhOiFIbFgC+gFI/3/m3/CSq89NPP0U6nU7x73//O+udd97pqdZzHgDOO++8in79+qku8gsPD28yNX/66acP0+l0UqvVSq1We+RF3WKxaADgmmuuGdSwe43D4RB2u12TkJBgy8zM3Nn236xjMJnvHF4CMNXd4EPfpCHjcI1Pn9Blt8B8YCOM/ccdU7ZiO5yJ2l2rEdJjIKq3N51ssmSlodzlgjHpOIQmjfHquaq3r4CjPB+hQyah4q8vjhx3VhUDAGrSfoU5czsijjsFITEJAJQPALaC/eg24xpUrlsEfcJgGBKG1t2PyXxraTUCkwfG4eThPTA+qRv6x4Uj0qgLmk5BWo1AhDEEEcYQJMaF48RhPXD3SUMgpYTF7kRehRlpuZVYvfcwfttdCLOPOj5R12W2O3HbZ1vww51TEWlUbb4RB+BrADMANJlpJOqMPv7443iNRoMrr7yy/KKLLqqcM2fOkPT09NALLrhg8JVXXlly2mmnVU2YMMEyc+ZM08yZM5tstOZ0OlFUVKTbtGmTcezYsZaQEOVvy2q1blF7vvvuu6/366+/3mvjxo27uQMsBaKLAdzrbnDB2kP4Ka3A3XCrmQ+mQtotCBs6+Zjj9bu82osPwl58sMn9rLm7YM3dBaHReJ3M1z+mef96mPevbzJeu2s1ACC0/5gjyXzNrtUIH3GicoJ0Qmi0QN0ssZS+vULRmXULC8FFKX0xK7kHhveKQkxoSNAk7i0hhECoXofBPSIxuEckLhjfF1JKmGxO7Cuqxpq9h/H15hzkV1qafzCiRg6V1OKBxWl476omlQL1JgJ4FYBvLmcSBbCdO3cali1b1m3atGlVCQkJTgDOTZs27Xnsscd6LViwoMdLL73U56WXXuojhEB0dLQjMjLSqdFo4HA4hMPhEDabTVRVVemcTifGjx9fk5qaunfHjh2Gw4cP64xGo8toNMrG71MlJSU6AEhPTzfUb0jVkMPhgMlk0gwYMMBW3wM/mDCZD27DAHzobjA1qxxzf97TLk9sOaR8+DX0G3XMcWPicUh66CfV+2S9dBaip16OmGlXtui5YqZdqXofS3Yair78P/S8fC6MiccdM2ba8wd6XPQUAEAYwuGy1sJlUa5OaAyq3awISsnMmaN64YKUPhif2A3RnTR594YQAuEGHcYldsO4xG6495ShMNucyDhcg+U7C/Hp+kxUsgafvLR8ZyHe/+MgbpnhdkOpOwD8DeBz/0VF5H+jRo2yfv755wcadqOJiIiQb7zxRv6zzz5buGjRouhVq1ZFpqenh+Xn5+tLS0tDrFarxul0QggBrVYrQ0JCXKGhofKyyy4rBYC5c+cmfPvtt3F6vd4VEhIi1brgxMXFOW688UbVP0Cn0wmLxaJ55plnch544IGSdvvl2wmT+eBlgHJpNkJtsLTGijs+39JunT4sWduhjYg9MhPeWuas7bBkpSF82BToew7ySWzmrO0w9BkBoVMuu+l7DET11qVwVB2GCDEipJv7BbRd0eAe4bhx6kBMGxKPPjGh0Gi6ZvLujVC9FqP6RGNUn2jcf+pQlJls2JxZjk/WZWJtRmlHh0cB7uXl6RjTLxonDIhzd8r7UBbEHvBfVNRBbAB825XC/1pdrnL55ZdXqh2PjIx03XTTTeU33XRTeUse78svv8wCkNXaeIIdk/ng9RgA1Z5nLpfE3Qu3orCqfUoCHJXFcFQUImzolDY/ljVnJ6r+XoSQbr18lsxbDm1B1ITzjvwcmXI2rLm7Yc3drbS11LndNK7LOK5vFO6aPRSTBsa6q+P1OVOlFdVlFtRW2mA1OWA122EzOWA1O2A1OWCr+241OWC3OiClMjsuNI2+i/qfBXR6LUIjQxAaEQJjRAhCI/R134/+HBoVAl2ItvkAW0gIgbhwA04bmYDTRibAYndiW04FPlqbiRW7CyG5npYacbgk7vxiK36+exq6R6rufREG4CMAMwGwHrDz63S129QxhOQ7TjAaD2AjANUM5ZUVe/HOak7s0LESY0Pxz5OH4qThPREd6vsE3uWSqC4xo6LYjIpiEyqKTKg8bEZ1qQXVZRY4O2oxqQAiuxkR0zNM+UoIQ7e625Gx7bOZmN3pwtbscry96gD+2B90V2ypnZ0wIBaf33QCdFq33Z4eAPBvP4ZE7SQ1NTUUwJ9Go3F4cnJyesMOK0T1nE6nSE9PT7ZYLHsATE9JSWlRm0zOzAcfPYAFcJPIr0ovxrtrmMiTIjYsBHedNARnHdcL8REGn9a/VxSbUJxZhaLMKhRnVaMkuxqOQOz+IoHqMuUDRc6esmOGdHoNoruHoVuvMPRMikLPgdHokRgJbUjbWmqGaDWYOCAOn9wYB5PVgd/3Hcbrv+7DvmLfdpWi4LThUBleXrEX/3dGk80o6z0PYBmAXf6LioiCFZP54PMIgOPUBkprrPjX19t5eZ9wUUof3DpzEAZ1j/BJAl9baUXRoSoUZynJ++GsalhNwb/402FzoTSvBqV5NTiwWWl1qtVpEN8vAr0GRSNhYDQSBkUjPNrQ6ucIM+hw+uheOH10LxRVWfD5hmy8u+YAHNy5tkv74M+DOHFYd0wZpNomVw/gYwCTAdj9GhgRBR0m88HlOCi18qqeWLILZbUsweuqQkM0ePj04bgopS/CDW3703Y6XCg4UIns3aXI2lmKsvxaH0UZ+JwOF4oOVaHoUBWAHABAZJwRCQOj0W9ELPqPikNopL5Vj90zyoj7ThmKu08ajE2HyvD8z3uwM6/Kh9FTsJASeHBxGpbdM93dupUUKJM3z/g3MiIKNkzmg0cIlPIa1f9ny3YWYOkO3/eTp8A3MD4cT587ElMGxUPbhk40VaVmZO8sRfbuMuSml8Nu5fq7etWlFlSXWrB/UxGEAHoOiEL/4+LRf3Q84vqoNpTySKfRYPKgePx45zTkVpjx6i978f3W/HaInAJZbrkZz/60By9fpHqxFQAeB/ATANWNcIiIACbzweRBKAtfmyivteHx74N2F2JqpdNHJeCB04ZhQHx4q0tpirOqsH9TETJ3lKKiqMkme6RCSqDwYBUKD1Zh/fcHERlnxIDj4tH/uHj0HhIDrc77enshBPp1C8Mbl47DM+eMwqfrs/Dar3vhDMClB9Q+vtqcgzmjEjA7uYfasA5KuU0K2PmkM2rdJb7AwX+TAYLdbILDSCgzM6p/+Pcs3Iol2zir11VcMykJ95wyBHHhravjri61YO/GQuzbUIjyQibwvhRi1GLQuB4YPqUXeg+JadVjWB1OfLEhG8//vId19V1Ej0gDfrl3BmLC3OZ2jwN4zo8hkY946Gajh5v20kFkB5jQ+wS72XR+OijlNaqv8r/uLmIi30VcOL4PHjtzBLqFt3wyx2qy48CWw9i7vhAFGRUAc8R2Ybc4kf53AdL/LkB0j1AkT+6F5EkJiOjmfQtMg06L66cOwJUnJGHhxmw8u3R3u23+RoGhuNqKJ5bswrzLx7k75XEA3wBony29iSioMZkPfPcBOF5toNJsx6PfBfsGctSck4f3wHPnjUZCdMt6okuXRNbOUqSvL0BmWimcDtZu+FNlsRkblhzExh8Oot/wWCRP6YWBY7p73fZSr9Pgmin9cenx/fDfPw/ilV/2tXPE1JF+2J6POaMScMboXmrDegAfAJgBgH/I1Cl88cUX0du2bQtrfPzss8+unD59eosvG5eWlmptNtsxNadCCJmQkNBkAdiyZcsiqqurNZdcckmn6EDAZD6wJcNDJ4NnftyF4mqrH8MhfzphQDe8fNEYJMaGtagm3m5zIn1dAbavykFlcYuu1FE7kBLI3l2G7N1lMITpMHRiAo6b1RcxPZu8h6kyhGhxx+whuHZKf7y8Yi8++bvL7lje6T2xZCemDIpzV24zFcBtAN7xb1RE7WPp0qXRixYt6j5gwAALANjtdpGVlWXo2bOnPTk52dqjR4+xnu5/6qmnVqxYsSKj/uczzjhj0MaNGyMbnhMREeGsrq7etm/fPv2GDRvCrr766goAePTRR/tmZGQYL7nkkm0AsHnzZmNoaKgcOXJkUCZVbdsZhdqTFkp5jWph9Or0YnyzJc+/EZFfDO0ZgRX/nIGFt0xGUpz3i1trKqz4+7sMfPzwWvyxcB8T+QBkNTmwY00uPn9qPX6en4b8/RVe3zfCGIJnzh2F1MdOxmkje7ZfkNRhSmpseG6px0qaFwH081M4RO3KYDDIyMhIx/79+3ft379/14oVK/YBgF6vlxERES4AePjhh/O2bNmy6+qrrz4cFxfn2LJly64tW7bsGjFihMlgMBxzlcpoNLqGDRtmzs/P356fn7/9pptuKgoJCZEA8MILL/S86667+lssFgEAMTExjtDQ0CP3f+aZZ3pNmzYtuaqqKijzYs7MB657AExSG6iy2PHItyyv6WxCQ7R458pxmDWsR4tm4g9nV2Pbb9k4kFoMF2urg4MEDm0vwaHtJeiRFIlxpyVh0NjuEF60Fo2LMOC9q1KQXliNWz7djJwyfmjrTBan5uKcMb0xY2h3teEIAPMBnA2ufKEg12Ax8DH0er3U6XQSAHr16mUfN26cJT4+3qHVauW4ceMsgJK4N76/0WiUOp1O9urVywEAoaGhrvpk/rrrriv96KOPenz11VfR11xzTYVerz9yf5PJJNasWRN9xRVXlERFRQVlGRuT+cCUBA+dC55fugeFVRY/hkPt7apJiXj8zBEwhGi9vk9uehk2/ZyJ/H0V7RcYtbvirGqseH8nuiWEYdxpSRg2sSc0Ws+TQ0IIDO8Vhd8fmIWf0vJx36LtcLiY23UW//fdDvxy7wyE6VXfos8EcCGAxf6NivzlmmXXoKi2qKPDAAD0DO+JT07/pF0e292klRDCqxczjebY10m1+9V/KJg5c6apd+/etq+//rrbNddcU9HwnM8++yymurpae9NNN5V4GXrAYTIfmOYCCFUb+GPfYSzalOPncKi9JMWFYcF1x2Ngd+83HirOqsLf32UgN728HSMjfysvNGHVx3uw6adDSDm9P4ZP6QVNMzP1GiFwzpg+OCm5J/719XYs21nop2ipPeWWm/HqL/vw+Fkj3J3yMoAfAQRlfS95VlRbhPzazt+lTkoJp9Mptm7dagSA7Oxs1a2QW8JqtWrqH6+0tPSYHHfWrFmVS5YsibVarce8sH7wwQc9hg0bZp4wYULQzpIymQ88EwFcoTZQY3WwvKaTEAKYe/5oXHp8P2i8LKkpL6zFhh8OImPL4XaOjjpSdakFaz5LR9rKHEy+YBD6j45v9j7hBh3evXI8tuVU4PoFm1BhtvshUmpPC9YewtljemNsvxi14QEA7gTwql+DIvIhKSWqq6u148ePH+mrxzxw4ICx4eP17t37SB/8hx56qOi5554rMBgMx8zgf/bZZ4dKSkq8vywegIKy0L8TEwBeczf40rJ05FWwPjbYzU7uju1PnIrLJyZ6lcjXlFuw6tM9+PKZjUzku5CyglosfScNS17fisPZ1c2eL4TAuMRu2PTYybj9xEF+iJDak0sCD3+TBqf78qnHATT/SY8oQDkcDhETE+OQUqZKKVPT09PbPFs5cuRIU/3j3XXXXQUAYLfb8dtvv4WbzWZNeXm5duvWrcaamhqt3W4XW7duNZpMJo3RaJR//PFHmMsVlCXznJkPMBdCaT/WxN7CanyxMdvP4ZAvhWgF/nvNBMwY2t2rBa6WWjtSl2dix5o8OO3B+QJDbZe7txxfvbAJwyYm4IRzByIy1vN+AyFaDR6ck4wLx/fF5R+sZ/vaIJZeWI2FG7Nx5aQkteFoAE8CuMu/URH5hsPh8L7TgwpvE++SkhLdKaeckqw21viqQG1t7ZawsLCgW4DEZD5wGKDUQaqa+/MeTzM0FODG9ovGJzecgKhQ70oC9/xdgHXfHIClhuUSBEACezcU4sCWYoyZ3Q8pc5KgD/X88j2oRwTWPTwbc3/egw/XZvonTvK513/bh3PG9kakUfW1o77vfLp/oyJqO2+S+Xnz5iUsXLgwLjs721BRUaGbMmXKUADYt29faN++fW3N3R8Aevbs6SgpKdkWHh7uMhqNEgDmzJkzcMeOHeF5eXk7AMDpdKK2tlYTjIk8wGQ+kNwJpQ6yid/3FuP3fSyvCFaPnJ6Mm2cM9KqkpqLIhDVf7EXeXi5upaacdhe2rMhC+t8FmHHZUAwa38Pj+TqtBk+cPRLnjOmNyz/YALO9yUaIFOBKamyYvyYDD85RnVjUQpkEOse/URG1XXV1tbaiokInhEhxd86UKVOqZ82a1aTO8Nlnn+2t9mEgIyPDOGrUqOEAUFxcHBISEiI1Gg3i4uI8vvhptVoEa1tKgMl8oIiHUv/YhNMl8fzPHjcRoQDVLSwEX/1jMob0jGz2XKdDSdJSl2XB6Qja1xPyE1OVDcvf34mB47pj5mVDERaturfcEWMTu2HzYyfjugUbsSmTHxSDzf/+OoQrTkhE326quwafDWA2gFX+jYqobaqqqrS9e/e23X///QWA0n1m7ty5fRqeM2HChNrrr7++yYtWdnZ2SHh4+DFvltXV1dp+/fpZzznnnHIAWLVqVVROTo7BbrejpqZGExYWJhsvfm3IbDYLk8mkaS7xD0RM5gPDE1DqH5tYtCkb+4pq/BwOtdUZoxLwxmVjodc1v0A+f38F1nyejvJCkx8io87k4NbDyNtbjmkXD0Hy5F4ezw036PDVPybjgz8OYu4yVmUEE6vDhZeX78W8y8e5O+VVABMABF0SQk31DA+cHZ7bM5bCwkL9kCFDzPfdd18JAOzdu1ffOJl358knnyxufOzw4cMhJ554YtXcuXMLAeDuu+/W5OTkGFatWhUxZ86cYWqP0/iqQEREhLO6unpbi3+ZDsZkvuMlA7hdbaDG6sBrv+7zczjUVvOvHI85oxKaXeRqqbVj3TcHsOfvAu7lSK1mNTmw8uM92L+5CCdemexxgawQArfMHIQTk3vg4vnrUGlx+DFSaosftufjhqn9MTaxm9rwWADXAFjg16CoXbTXJk2BxOVyIT8/Xz9p0qTmW3V5KT8/3zB06NAmveJHjBhheeuttzKNRqOrfmb+tddeS8jKyjK8+eabWfXnmc1m4XK52rQot6Mwme94L0Ope2zi3dUHUFLj1foOCgBxEXr8dOc09IpR3e/rGHn7yvHrh7tRW8FOI+Qb2bvK8OXTGzD5/EEYfWJfj+cO7RmJv//vJFz13w3Ykl3hnwCpzZ5dugff3DbF3fDzAL4CUOu/iIhaJzU11WgymTQjR45sdb/t66+/vt8NN9xQOn36dFN6erq+trZWM27cuCaP169fP8edd95Z2vDY559/HltcXBxy9dVXV7T2+QMJ+8x3rNlQ6h2byKsw439/HfJzONRa4xJj8NdDs5tN5F0uiQ0/HMSS17cykSefs1ud+GPhPnz/+laYKj3/+wrT67D4tim4ebrqunsKQKlZ5ViaVuBuuBeAB/wYDlGr/frrr5EAMH369CN1xHa7XQDKFcT6K9tOp9PtTPnixYvjLrvsskEAsGzZsiidTienTJlypF5VShmUs+ytwWS+42jhYfe+l5alw8qFkEHh8omJ+ObWKQgN8VwfX11mwfevbcHmnzMhWVZD7ShvbzkWPb8JuemeF7tqhMCjZ47AW+5rsSnAvLQ8HVaH29L4BwF4VXNM1JE++uij7rGxsY7JkyebCwsLtS+99FL3J554ohcAREZGunQ6HcLDw10//vhjTOPdWV0uFxYvXhxVU1OjPfvss8sB4Jtvvuk2atQoU2hoqLRYLMJqtYqdO3e6nV1zuVwiWDeIUsNkvuNcDaXOsYltORX4MS3fv9FQq7xwwWjMPX8UNBrPEwAHtx3Gouc2ouBApZ8io67OVGXDD29uxaalhyCb2aPi7DG98dNd06DjO0LAyy4z4eN1We6GQwE858dwiFosOztbZzKZtOecc06ZRqNB9+7dnW+++WbCd999Fzd48GDLqaeeWg0A1113XfHq1auju3fvPlYIkVL/pdVqUy6++OIhERERzrvvvrt43bp1oevWrYuaPXt2JQA89NBDvYxG4/g1a9ZEx8XFqW7WYrPZhNVq7TSveKyZ7xjhAOa6G3zup92cuQ1wGg3w9T8mIyUp1uN5DrsTaxcfwM7f8/wUGdFRUgIbfzyEgoxKnHL9CIRG6t2eO6pPNP5+5CSc/safKKnlWp1A9vaq/bgopS9iw1X/f14L4C0AW/wbFZF3EhMTHdu3b99dWlqqBZQe72+99VZWjx49HNOnTz9SJvP222/nPfjgg0WlpaVNclWdTicHDRpkCwsLk/n5+boLLrig9LLLLisHgJSUFJNWq5Vjx46tnTdvXrZaDDabTdOZknkhmTV2hH8CeF1tYGlaAe74gq/BgSw6VIfl98xotj6+stiEZf/ZgdI8rkejjhceY8CpN45E7yExHs8z25y45D/rsCOvyj+BUatcMzkJz5w7yt3wDwDO9WM45EZqamoogD+NRuPw5OTkdK1W2zDpcv/pOjgE5Kd+u90OIQR0uuCZr3Y6nSI9PT3ZYrHsATA9JSWlRQuDO82nkiCiB3C/2oDN4cJLy9n/OZANjA/HuodPajaRz9lThq9f3MxEngJGbYUVS17fii0r3JZoAABC9Vp8f8c0nDoicHpdU1NfbMhGRrHbPUjOATDSj+FQ69iC/CsghYSEBFUi7wtM5v3vCgCqfeM++TsT2WXcOChQjeodheX/nIFwg+cXibTVOfjpre2wmtjDmwKLyyXx93cZ+HXBbo87DWs1Av+5OgVXTEz0Y3TUEg6XxAvLPO4O/qC/YiGijsVk3r80AB5SG7DanfjP7wf9HA55KyUpBt/dMRV6DysEXU4X1nyejj8X7YermQWHRB1p34ZC/PjWdlhNqmvDACjt4Z4/fxTumj3Yj5FRS/y2pxg789wuqr8CAD+NEXUBTOb961woO7428XVqLg7XsO94IJo2OB5f/WMyQrTu/1xsFgd+eicNu/5kFyIKDnl7y/HtK1tQXdZkw8QjhBC475ShuPfkIX6MjFpi/poMd0M6APf5MRQi6iBM5v1HAHhYbcDpknj/D87KB6JZQ7vj4xsmQqtx/6dSU27Bt69sQc7uMj9GRtR2ZQW1WPzSZhzOdr+juhACd580BP86dagfIyNvLdtZgMwSt2tzbgYQ78dwiKgDMJn3nxMBTFQb+Cktn7XyAejk4T3wv+uOh9ZDD/nSvBosfikVpXluF6IRBTRTpQ3fvboFWTtL3Z4jhMAdswbj4dOH+TEy8oZLwtNkUBiAO/0YDhF1ACbz/qM6Kw8A7/3u9jIpdZA5oxLw/tUTPG4GdTi7Gt+/thW1FSyPouBmtzrx87tp2PWX+zIxIQT+MWMQHj1juB8jI298syUXh6vdlkvdBSDCj+EQkZ8xmfeP8QBOVRtYnV6MPQXuL3GT/80ZmYB3rxzvMZEvyqzCkje2wlLrfgEhUTBxuSTWfJaOLb+4b10phMBN0wfg/5jQBxSrw4X//XXI3XAsgJv8GA55Tx/kXxQgulYjzo6j2sEGAOZzVj6gpCTG4J0rx0Mj3CfyBRmV+OmtbbBZnH6MjMg//v42A0IIjDtFvRGKEAI3Tx+AKrMNb6/m61eg+Hx9Nm6fNRhRxhC14fsBvIsA7g3eBekBjO7oINpoB3z0b6qmpkZYLBZNfHw831hbgTPz7W8IgIvUBlKzyrHxEBdNBoqk2DB8ectkjzXy+fsr8OM8JvLUua375gC2/aa6CzoAJaG//9RhuGoSOx8GimqrA5/97faqSl8orSqJAtIPP/wQ1bdv3zGvvPKKVwu2MzIyQtLS0gzuxvfu3au3WCyqb+bZ2dm6BQsWdMvMzFT95NtS1dXVmrS0NMN3330X9cILL3S//PLLk4YNGzZi165dbuPzNc7Mt79/wc2HpvlrDvg5FHInOlSHpXdP89hHPje9HEvf3Q6Hzf1mO0SdxdrFByCEwJiT+qmOCyHwzLmjkFtuxpq9h/0cHalZsDYTN04bAEOIVm34QQCfAOALGAWc5cuXR9tsNnHmmWdWNTxeXV2tyc7ODjl06JB+3759hh07doRu2rQpYvfu3WGDBw8279q1a3dISNOc/Lbbbkvctm1b+OrVq9PHjBlzzMK2rVu3ht5www0DFy5ceKB///5uN2qot3v3bv3DDz/cx263C7PZrDGZTNqamhpNVVWVrqKiQldbW3tM4hAREeGMi4tzvPTSSz0/+eQT97MiPsRkvn31AnCd2sC+omqsTC/2bzSkSqcBfrl3JiLUL08DALJ3lWLZezvgsPN9kLqOv77eDyGA42arJ/QaIfDfaybgjDf/xL5idnTqaIdrrPg6NRdXTUpSGx4O4GwAS/wbFZFnLpcLK1eujE5JSakZMWKE7cknn+z55ptv9rJYLBqr1XrM7HpCQoJt4MCBliuuuOLwkCFDLMXFxbo+ffocs9263W7Hpk2bIvr27WtrnMgDgMFgkHXfvXpDT05Otkkp4XQ6RUJCgj0mJsYSGxvriImJcS5atCh2y5YtEb/88kt6v3797ImJifawsDC/7xrJZL59/RNuFom893sGJDcJDQhL756BnlFGt+N5+8rx8/wdcDqYyFPX8+dX+wGNwHEn9lUd12k1+P7OqZj+0mqU1rIku6O9/8dBXD4x0V254CMAfgDAdx8KGN9//31Ufn6+/s477ywElKt+lZWV2jfffDOzd+/e9m7dujmzs7P1N9xww8B333036/zzz6/y9HiLFi2Kqamp0d5www2qM6ZarVYCgE7XfApcXl6uCQsLk0uWLDmkUdlvZsOGDeFbtmyJOOWUU1Q3e3A4HDCZTBq9Xi+NRmO7/d0xmW8/MQBuUxvIqzDjh23cKTQQfHrjRAxLiHQ7XppXw0Seurw/F+6DRgCjZqon9GF6HVbcOwNTX1wJq4N5YkfKLjPh5x0FOHtMb7XhEwDMAPC7f6Micu+DDz6IB4DRo0dbACAkJEQCwLXXXlseHR3tAoANGza4AKDxTL2a999/v3tISIi8/vrry3fs2GEwm82a+scEgEOHDukBIDMzU79169YjM3kulwsWi0WMHj3aGhUV5QKAIUOGjC4tLW02VxZCpHgaf+eddw7dfvvt7bZIksl8+7kGgGqW+MEfB+Fw8Q2vo7144WhMH9Ld7Xh1mQU/vrUdNrPD7TlEXcUfC/chLNqAgWPV/2biIwz46a7pOOX1P/wcGTX23u8Z7pJ5QLlizGQ+gGVecSUcRYUdHQYAQNczAf2/+LzdHn/37t36X3/9NabhMSFEkwQpLCzMBQDuFrU2fLy1a9dGJSYmWuLj452XXXZZ/5UrV8aonXvXXXf1Vzv++++/75kxY4YJAF588cVsANDr9VKodLl75513emzYsCHyk08+UW3t5XQ6YTKZNDNnznS7TbMvMJlvHwLAjWoDZbU2LNqU4+dwqLGrJyXh0gnqdcAAYDXZ8dPb27khFFEdKYFfP9yF8+4bj579o1TPGdIzEu9dlYJbP0v1c3TU0K78Kvy+txgzh/VQGz4LQA8AXLQVoBxFhbDndY2r948//nhvp9PZ7Gx7ZGSkCwBqampUV3fXe+6553q5XEevpH/33XeH9Hq9rK+THzBgwEi73a7Jy8vT9+7d2xYZGelMT0/fDSglMRaLRTQsh7npppvKPT3f999/HwMAV199dUVzv0N7YjLfPsYBOE5t4NP1WTDb2dawIw1LiMBT54yE2qdsAHDaXfj5vR0oy2/XD9JEQcdhc+Hnd9Nw0UMTEBmnvs7ktJE9cevMgXjv94N+jo4a+s8fB90l8zoAVwF4zb8RER3rjz/+CPv+++/jxo4dW7tt27bwxuMffvhhbP0iVZPJpAGA33//PVKj0UgpJWw2m8ZqtYobb7yxrHv37s60tDTDV199FafVHs336z8EAMDmzZuNmZmZxssuu6xk4cKF8SeddFLlp59+2n3r1q3GcePGWXQ6HSIiIlTLJjIyMkIGDx6smtcB6mU21157bfFHH33kl9lbJvPt4wa1gy6XxFecle9Qep0GX/1jisde8r99tBv5+yr8FxRREDFV2fDTO9txwQMpMIQ2fQsRQuDBOclYf7AM23Iq/B8gAQDWZZQis6QW/eOb5EiAcuX4dXAhLHUQs9ksbrnllv5RUVGOW2+9tfjWW28d0PicRx999JjL50IIfPfdd7FLly7tVp/Mu1wunHbaadWxsbHOW265JSkiIsJ1/PHHVx84cKDJbMNHH30Up9Vqcdppp1UuXLgwfs6cOZWLFy+Oe++99+L/85//5HqKNzw83AUAV1999eF77733yFWtBx98sM9vv/0Ws2XLll31x2prazXTp08fXl8a5A/cNMr3jACuVBtYm1GCvAqzn8Ohhr68eRKiQ923oPzr6/04kMqrz0SelOXXYsX7O+Fyqr9XaYTAZzedgDD1fufkJ1+nus1PRgA43o+hEB1DCIFZs2ZVPv7443lRUVGq5QoFBQXbTSbT1vqvESNGmE499dQKk8m01Ww2b3U6nalms3nLmDFjLLt37zakp6eHPf7447lqj5eVlRXy4Ycf9jjzzDPL+vXrZweAqKgo1/XXX1/80Ucf9di5c6fHDZ70en2LP/g2vELQ3pjM+955UDrZNPH1Zo8f/Kid3X/qUKQkdXM7vvP3XGxfySsnRN7I2VOG37/c53Y8wqDDon9M8mNE1Ni3W3Lhct9sQfUKMpE/GI1GOX/+/Lz77ruvxNv7DBgwwJKZmXlM0m00GqVGo8Ho0aOty5Yt23vvvfeqPt4999zT12q1ah5//PGChsefeuqpQoPB4LrpppuSmltcCwCffvpp9/Hjx4+s//rtt99iAKDhsenTpw/39nfyFSbzvqf6AllptmPFrsBYnd4VnTAwFnfOGux2vCizCn9+vd+PEREFv91/5SN1eZbb8dF9Y/DgnGF+jIgaKqi04M/9bnfnvRxAmB/DIWqT4cOHWzIyMkLdtaecPHmyWa0X/JNPPtlzyZIlsXfccUfBhAkTLA3Hunfv7pw/f/6hjRs3Rp5//vkDHA717nU2m00AwM0331yUlZW1vf7rjDPOKAeAhsfWrFmzB1A62fgLa+Z9KwnAyWoDS7blwcpe5R0iyqjDR9dPdLvg1VJrV0oG2B+bqMU2LMlAj6RI9Bseqzp+28xB+GPfYaw/2G4tlsmDrzbnulsIGwXgfADt13eQWkXXM6GjQzgiEGIxm80iNDRUTp48ufaVV14Rf/75Z9jJJ5/sVYeKV155Jf65557rO378+JrXXntNtUXQlVdeWblp06aCN998s9fkyZOHLViwIHPUqFHHtLKrra3VAMAHH3zQ84MPPujZ+DGSkpLGqMTttwlzJvO+dS2UtpRNfLWZ5Rsd5bs7piLUQ+3ubwt2o7rM4naciNyTUvkbuvSxiQiLarrhtRACC647HhOfX4lqK/ds8LdfdxehvNaGbuGqm5HfACbzAac9+7oHm/379+vPOeecwRs2bEifPXt2jcFgkN9++21Mc8m8lFJcccUVSV9++WX8iBEjTB9++GHmmjVrwkNDQ10HDhwwAMqmUVu2bDFarVbx8MMPF+l0Ovnqq6/2fuihh/r8+OOPBxvO8vfv399++PDhbY2f5/rrr0/86aefYtXGjEaj32Zwmcz7jgbA9WoDewqqsDPP4+7D1E4ePSMZg7pHuB3ftPQQsnaW+jEios7HVGXDrx/uwjl3j4VQ6RQVqtfhy1sm4ay3/uqA6Lo2m9OF77fl4fqpTZqFAMBsAAMAHPJvVETN2759u/Gyyy4bVFtbq83IyNCPGzfOMnXq1MqFCxfGv/TSSwWRkZGuP//8M2z48OHW+Pj4Y2pahBDyzjvvLC4vL9d+9tlnWT///HPkNddcM6jhOQ03jfrPf/5z8N///nfBxIkTa88///yqhom8xWIR69atCwsNDXXp9XrZaEwDADk5Ocd01rDb7cJqtYqwsDBXSkpKu88WMpn3nRMB9Fcb4Kx8xxgYH4Ybpw10O56zpwybfuJ7GJEv5KaXY/OyTBx/pmrSiFF9onH7iYPw7hrVjRKpHX29OdddMg8A1wF40n/REHlW31P+zDPPHNqtWzfH22+/nTlmzBgLANx9993F5513XsxTTz3V89VXXy346KOP4r766qu4/Pz8tIY95QFgypQp5mXLlh0EgEsuuaTyjDPO2GYwGFzr1q0LO+2005J/+OGHfaeffnq1zWYT9Qn6JZdc0mTmNS8vT3fqqacOq1tsK7Va7ZGaXJPJpAWA2bNnH7M4yOFwCJvNppkwYUL12rVr231BHpN531Fd+GpzuPD91jx/x0IAPr3xBGjc9JOvKbfgl//tgmSZPJHPbFqaiT5Du6H3kBjV8ftPHYYl2/LZotfPdhdUYVd+JUb2jlYbvh7AMwC4myF1iPrFpXa7XQDA2rVrIwFg4MCBltdffz3n7LPPHvrHH38c/uCDD3LPPffc6hkzZlS+9dZbvSZMmGD6+++/I5KSkqwNE3mXywUp5TFv/gaDQRoMBieAI2Mulws6nQ46nc5jJjBo0CC7w+HYojZ24YUX9v/222/jysvLt7flv0FbMZn3jRgAF6oN/Lq7COUmu3+jITx42jD06abeqMHldGHFBzthqeH/FyJfki6JX/63E5c+NhGhEU1rtLUagc9vOgEn/nuN/4Pr4r7anIunz1FN5vtBKbf51b8RESnqu9PUf7/gggvKrVarWL58eUZUVJTrkksuKfnvf//bMyEhwf7ss88Wffrpp5mTJk0afsUVVwwGgGefffaY8geHwyE8dZJp/OHBk02bNhlramo0RqNRGo3GJkl/VVWVFgC2bt3aZJMqKSUcDoeora0Vo0aNsnbv3r3dPjAzmfeNy6BsFtXE1yyx8bvE2DDcOnOQ2/Etv2Sj8CDXMBC1h9oKG35bsBtn3zVWdbx/fDjumj0Yb6064N/Aurgl2/Lwf2ckw6BTbQZwA5jMUwepT6rrk+y77rqr9Pbbby+t33Tpgw8+yMnNzdWnpKSYACAxMdGxbt269KeffjohJCRE3n///cf0X9Xr9TI0NNTt4tP6Dw3edJv55z//2S81NTUyJCTEpdfrpVpXvLi4OMcpp5yi2oPX4XAIi8Wi+fzzzw9ceOGF7ZZ4CMk6A1/YCJXd9AoqzZj64iq437OD2sMfD56IxFjVLcxRll+DRXM3sQ0lUTubcuFgjDslUXXM4XJhygsrUVxt83NUXdvbl4/DWWN6qw1ZAfQCUO7fiDq/1NTUUAB/Go3G4cnJyekN660BqLYYCiL8A/YRp9Mp0tPTky0Wyx4A01NSUlpUi8hNo9puJNxsi/1Nah4TeT+79+QhbhN5l0ti5Sd7mMgT+cGGHw6iosikOqbTaPDxDSf4OSLy0IzBAGUTKfIvW5B/UYBgMt92F7gb+DqVJTb+1CfGiDtnD3E7vu3XbBRnVvsxIqKuy2l3YdUneyDdzGgkJ0Tikgn9/BxV1/bXgRLku198rLrui4gCH5P5tjtb7eDGQ2XIKlWflaL28dH1E6F1072mrKAWG39kG0oifyrIqMSO33NVx4QQeObckTDo+DbkLy4JfLvFbXe1GQBUV8gSUWDjq2jb9IKbEpsVuwr9HErXdsboBAzuob45lHRJrPpkD5wOv23GRkR11n9/ENWl6numGEO0eOPSsf4NqItbtrPA3ZAOwBw/hkJERzXbWccTdrNpmzPdDfy2p8ifcXR5c88fDbVV5gCwbWUOig4FRvea0upCPPnFlR7POWHoqbh61kNwOh34dfsirN+7HGXVhdBp9RiVNAkXT70LkaExbYph8/6VKK7MQ5ghAmMHzsCghFFHxq12MxasfB5ZxXtw+Yz7cFz/qUfG1u9djuF9j0d0eFyrn5+6FrvViT8W7sWZd4xRHZ8zKgED4sNwqIRXMv1hV34VCirN6BUdqjZ8NoBFfg6ps6vvgSxdLpdGq9Wynz814XK5BID6msQWr0dgMt82qiU2+4uqWWLjR/eePAQxYepNASoPm7Hhh4N+jsi9UH0EThunnsxXmkqxfu/yI4n6J2teQuqBVQg3RmF4v+NRWJ6NLRlrUFyRiwcueBdajWqLOY/25W/D+yuegMNpQ1xkAkqqCrBmx7c454QbccpYZf3bn7t+QGbRbvTvMRyfrXkFL1wzCVqNFk6nAxv3/YYThp7W6t+fuqbMHaXI2FqMQeN6NBkTQuDtK8bjzHl/dUBkXdOqPcW4clKS2tAZUPICh38j6rxSUlIcqamp2S6XK6m6ujo8NjY2MGaWKKBUV1eHu1wuM4DslJSUFn/gYzLfeqEATlEbWLmn2M+hdF1GnQa3nTjY7fjab/bDaQ+c8powQwTOnqi6WTC+/ON1hGj1OHH0BdiTuxmpB1Zh3MAZuOrEB2EICYXT6cC7yx7B3rwt2Jn1N8YMmNai5zbbavHxyrnoEd0Xt5/+AiJCo1FlKsPbSx/ET5s+wvFDTkFMeDyyDu/F+EGzcHrK1XjkkwtxuDIPCd0SseXg7xg3cIbbKyBEnvy5aD/6DY+F3tj0bWdEryhMGRyHdQdKOyCyruc398l8NwBTAPzh34g6vd+cTufI4uLiXgAQGRlZq9FoJI7OxFLXJFwul6iurg4vLi5OcDqdBQB+a80DMZlvvdlQEvomWGLjP/++ZAz0bhbQ5e0rx6FtJX6OqHXKqouwfu9yzBx1HmLCu2PJhv8iKiwW18x6BCE65aqDVqvDjJHnYm/eFuSU7G9xMr9h7wpUmkpxx5kvISJUWecWFRaLGSPPxcI/30BWcTpiBkyDyVqNhJhEhBujAAC1VmUiaeO+X3HzqU/57pemLqW2wopNPx3C1IuadpwSQuDVi8Zg8ourOiCyrmddRgnMNidC9apX984Gk3lf+9TpdE6yWCwn5OXlxWo0mt5oY400dRrS5XKZnU5ngdPp3ADg09Y8CJP51jtH7WBZrQ1bsrnvhj/0iTHijNG9VMekS+Kvr/f7OaLWW77lM2g1uiOlLtfOfgRWu/lIIl/P6VKufmtEy0tsUgbPQr/uQ9E7dkCjx1Su6Ol1RzcxdkkXGm4od7BwF/rEDYA+RHWjYyKvpK3JxegT+yIqvuk8SK+YUFw2sR8WbmRL3/Zmdbjw14HDOGVEgtrw2QAe8HNInVpKSkp1amrqHU6n82qn03kyAPXd1KiryoYyI/9pSkpKq/pnM5lvHQHgLLWB1XuLuVGUn8y/KgUaNyUf6RsKUZJT4+eIWqfaXI6N+37FlOFnHLOw1RDSNOHZlb0BANC/R3KLnycytBsiQ7sdc8zmsOKv3T8izBCJAT1HAADCDJEwWatRa6kEAIQborB8y2c4Z+KNLX5OooZcDokNPxzEKTeMVB1/7IzhWLQpB9yYvP39urvYXTI/DMAQAMEzGxIE6pK0dwG8m5qaqkXw7/5KvmFrTY18Y0zmW2c8ANU9sVeyxMYvJg2Mxeg+6i2R7VYnNizJ8HNErbd2z1I4XHbMGHmex/PKqouQmrEacZG9kNw3pU3PWVyZi7TMdfhr94+orC3BDac8AaM+DACQ2H0oVm7/GuW1hxGqj4BOGwIpXYiN7Nmm5yQCgH2bijD25ER0T4xsMhZhDMEjc5Ixd1l6B0TWtaxO97i262wAr/kplC6nLnlzu3sXUUuxz3zrqHaxsTlc+GNfcNRoB7uXLjzO7ULMrb9kobYiOHaadrqc+Gv3jxjWZzwSunm+8rp43dtwOO04Z+KN0LSik01DaYfW4vv1/0FJVT769xx+zEz/9BHnIKnHMGQV78GVM/+FtXuWYsbIc5FbcgAr075GtZllZNQGElj33QG3w9dPHQC9luXE7e1wjRXb3JeEqr7HEVFgYjLfOqovdBsOlaLGyo5e7W1C/25IjA1THaspt2Drr9l+jqj1dmWvR0VtCSYnn+7xvA37fkFa5jqMSpyElMGz2vy8J4+9FHOv/hpnTrgOBwt3Yd5PD8BmVzb2MerDcNvpc/HCNd9gROJE5JTsQ6ghAv/+7k589/d7ePX7u+F08t85tV7unnJk7y5THQvRafD0OaNUx8i3fnM/Oz8dSmcbIgoCTOZbrg+UMpsm2JLSP547d5TbWfn1Sw7CYQucVpTNST2wGiFaPUYnTXZ7zuHKPHz911uICovDlSf6bl1aVFgsTk+5GnPGX4WCskPYeqhpA4tN+3/D8UNORlrmWvSM6YenLv8MpdWFyDzMMghqm789zM5fmNIXOs7OtzsPZaFacDdYoqDBZL7lVBe+AmxJ6Q9De0ZgWELTWlsAqCw2Yd/G4Pl/YLNbsCPrbyT3naC62LX+nP/++jRsDguuO+n/2rTzK4BjOtTUG5E4EQBQXJHbZGxLxhqkDJqF8ppiJMT2R3xUL0SGxqC8hh9cqW1Kcmqwb2Oh6phep8F9Jw/1c0Rdz56CauRVuC3dZqkNUZBgMt9yqi9wewurkVvO9Sztbe75o93Oym/5JRsyiFoJ7crZCJvDgjEDpqqOu6QLH69+EXmlGTh74o0Y2ntsm57v09Uv4bmvbmiS0NdalD7yjdtOpuemYlDCaOi0IXC5nNDWtcPUCC1cLu5ITm23fslBOB3qV9KumdLfv8F0UR5m508HEOLHUIiolZjMt0wYgJPUBjgr3/4SooxISVIv46ypsCJ9fYGfI2qbPTmbAQCDe41RHf/qr3nYfuhPjB94Ik4Ze1mbny+x+zAUVWRjWerRPSmcLidWpS0GAIzoO+GY8//a/SOmjVAuRBn14TDbaiGlhNlWg1B9eJvjIaoutbi9mhZh0OFq9V1KyYc8lIfGQNkNlogCHFtTtswkAKq75rAlZft74UL3s/Lbfs2GyxE8s/IAsC9/C6LC4hAf1XTjqwP5afhr948QQoPo8Dj8uPHDY8bjohIwJfkMAEBOyX5sO/gnhvYZh2F9xrl9vqnDz8Sm/b/h59SPsTdvC/rFD0FG4U7klOzDrNEXol/3o2UNhyvzYAgJQ1RYLACgb/xgrN2zFJ+sfhE2uwV94wf74j8BEbb9lo3hU9Q3f7v7pCH4dH2WnyPqWtYfLEWt1YFwg2o6MBPA734OiYhaiMl8y0xTO1hhsmFbToWfQ+laokN1mDmku+qYpcaO3X/l+zmitimrLkJJVQHGDJiuOp5RuAMAIKULq3d802R8cK8xR5L5vNIMrNj6OTQarcdkXqcNwR1nvIhlWz7D9kN/IadkP3p1S8L1Jz3WpEPOzuz1OHHUeUd+Thk0C7uzN2Jn1nqcN+kWdIvo0dJfmUhVWX4tsnaWImlUXJOx7pEGnJzcw1PXFWojq8OFdRmlOGWE6j4S7lfmE1HAEGoL4sitXwCc0vjgr7uLcPMnmzsgnK7jzcvG4tyxfVTHNv54EJuWZvo3ICLymb7DuuHce9U/iB4qqcGsf3NyuD3dNnMQHjpddVfpCgBxAIKnRRhRF8Saee/p4GaWYnOmer9k8p3TR6lfhrdbHEhb3bQLCxEFj9y95TicXa061j8uHCN7Rfk5oq5li/vNo2IADPNfJETUGkzmvXccgAi1gU1M5tvV1ZMSodep/1Pd+Wc+rCZuYEQU7Lb9pr7ZmxACj5893M/RdC1puZVwON1OvrPUhijAMZn3nmpxs8XuxM68Kn/H0qXcMG2g6nGXSyJtVY6foyGi9nBgczGqyyyqY8f3j+MmUu3IbHdiT4H6lREwmScKeEzmvae6+HV7TgVs7mc0qI16RhnQPy5MdSx7Vylqyq1+joiI2oOnD+dajcAt09U/1JNveCi1YTJPFOCYzHtHwE0yvynT7Qsg+cCDpyW7bUe5e21wdbAhIs92/ZUPu1V9Q7IrTkj0czRdi4dkfgSAaD+GQkQtxGTeO0kAEtQGuPi1fc0ZpfqfHaYqG7LSSv0cDRG1J7vFiYNbD6uO9YkJRZ9o1W0+yAc8JPMCwAl+DIWIWojJvHcmuhvw8AJIbXTKiJ7uNjJB+t8FcLnYVpWos3G3k7MQAg/MUW2fSD6QU2bG4Wq3ZYsstSEKYEzmvXO82sGM4hpUWdhJpb3cPdv9LqMssSHqnPL2lrtdCOtmYyPyka3uJ6em+DMOImoZJvPeUZ2Z35Zb4ecwuo4wvRYj+6iXaebtK0dlsdnPERGRP0gJ7NtYqDoWbtBh1jD1naCp7VKz3CbzJ4D5AlHA4h9n83QAJqgNbM+p8G8kXcjtJw6Cxu3CV/XL8ETUOaT/rZ7MA8DdJw3xYyRdi4ey0WgAbPZPFKCYzDdvOADV3ohM5tvPOWP7qB63muw4uKXYz9EQkT9VFJlQdKhSdWx032i4+ZxPbZSWWwk7N48iCjpM5punWi9vc7g8bbJBbWAM0aBft1DVsYNbD8NhZ19/os4ufb367LxOo8GF4/v6OZquwepwYXe+200QmcwTBSgm881TrZffU1DFzaLayTWTktz2ls9w07aOiDqX/ZuK4HTzwf3iCUzm2ws3jyIKPkzmmzde7eB2Ln5tN+e7mXWzmh3ISWdff6KuwGpyIHuP+t/7cX1i/BtMF7I1u8Ld0HAA6pdMiahDMZn3TAAYqjawM8/tpUhqAyGAIT0iVMeydpTA5WBveaKuImtHierxUL0Wo3pH+TmarmFHnvpahTqD/BUHEXmPybxn8XCzjfXBwzV+DqVrOHVET+i06v8sWWJD1LVk7XS/y/MN0wb4MZKuI6fM5GkRrOrkFhF1LCbznrl94cosrfVnHF3GFSckqh53OlzI2c0SG6KupKbcitI89YmT6UPi/RxN1+BwSWSXmdwNM5knCkBM5j1TbWhcZbGjpMbm71i6hJTEWNXjefsqYLc6/RwNEXW0zB3qs/PxEQZEher8HE3XcKjE7WQVk3miAMRk3jPVF65M9y901Ab948MQYVR/c3ZXO0tEnVvWTvW/fSEErpvS37/BdBEe3uOYzBMFICbznqnOzHuYtaA2uPqEJLdj7mbniKhzKzxYBUutXXXszNG9/BxN1+DhPY7b7xIFICbznnFm3o+mDlavga08bEZVidnP0RBRIJAu6Xa9zIB49c5X1DYH3b/H9QAQ479IiMgbTObd0wAYrDbg4YWO2qB/fLjq8YIDFf4NhIgCSqabrjZ6nQYD4tRfN6j1Dh32+B7H2XmiAMNk3r3eAMLUBjgz73sJ0UYYQ7SqYwUZHvseE1Enl+tm8ygAOHdsbz9G0jUUVVtgsjncDbNunijAMJl3z+3swyG2pfS5i8b3cTvGmXmirs1UZUN1qUV1bIqb8jxqPSmBrFK2pyQKFkzm3VN9wSqtsaLK7HbGglppxtAeqsctNXaUF7l9UyGiLqLwkPoVuiE9WTffHg66L7VhmQ1RgGEy7x472fjRUDdvyAUZFYD0byxEFHiKDlWpHo8JDYGO72Q+x17zRMGDL4Huqb5gMZn3Pb1Og+jQENUx1ssTEQAUuZmZF0JgdnJPP0fT+R0qUd95F8p7o/BjKETUDCbz7nFm3k9OTu4BIdTfG1gvT0QAcDinBk6nS3Xs1JFM5n3Nw3tdJAD+BycKIEzm1ekADFIbYDLve7OHq78vOOxOFGdX+zkaIgpETrsLJTnqs8XjE7v5OZrOr5kWzCy1IQogTObVJQJQrfvIZCcbnxvZO0r1eElODVwOFswTkaIoU71uvk9MqJ8j6fwqTHZUmGzuhrkIliiAMJlX57ZxsYd2XdRKvaKNqsfLC/jBiYiOcrcIVq/TIMzNPhXUetllbt/vWGZDFECYzKuLUztotjlhsjn9HUunF2lUX/xaXsgPTkR01OEs9WReCIEJ/Vlq42vltW5n5mP9GQcRecZkXp3qC1W5+0uO1Erx4XpoNeqLX8sKOTNPREdVHjbD5VIvvRufxGTe18pNdndDqhNeRNQxmMyrU32h8lA/SK00ebD794QKzswTUQMup3S7E+yIXuprb6j1KsxM5omCAZN5derJvPsXNmqlFDddKBx2J6pKzH6OhogCXWWx+of8pLhwP0fS+XmYwGIyTxRAmMyrUy+zqWUy72vDEiJVj1cUmSHZyIaIGqk8rP4hv2eUwc+RdH4ssyEKDkzm1am+UFWaWWbja/1iw1SPl7NenohUVLiZmY8w6vwcSefHBbBEwYHJvDo3C2A5M+9rceHqs2nsZENEaiqL1WfmdRoNokKZ0PuShzKbWADqnQuIyO+YzKtzswCWybyvGUPU/wly8SsRqXFXZgMAkwaw+sOXPKwT0wKI9mMoROQBk3l17GbjB90jDBBCfXKnttLq52iIKBhUlbhvTzkuMca/wXRyzbRj5icnogDBZF4d+8z7wZCeEW7HTFX8b01ETXlqT9m3m/oaHGqdCs9NH5jMEwUIJvNNhdZ9NcEyG9/q5+GN11zNZJ6I1Ll7fegWpvdzJJ1btdUBh9PlbpiLYIkCBJP5pty+QHEBrG/16ab6mQlOpwtWs8PP0RBRsLC4mTGOCQvxcySdHzeOIgp8TOabcvsCxdaUvpUQZVQ9bq62A+wxT0RuWGvVP+xHsj2lz3m4Is1knihAMJlvyu0LFMtsfCs+Ur0tpZn18kTkgbuZ+XA9k3lf87BWjMk8UYBgMt+UaplNtcUOh5sOCtQ6seHq9a0m1ssTkQfuknljiNbPkXR+Hrq4MZknChBM5pvqpnaw0n3dILVSTKh6fSsXvxKRJ1Y3V0n1Or6l+ZqHK9IxfgyDiDzgK19TqlM7VofbFf3USuEG9Uvi5mp+cCIi9yw16jXzOi03JfU1m/v3PtY0EQUIJvPUYdzNotnYyYaIPLC4mS0WADR8V/Mpp3RbXspknihA8GWPOkyIm1k0ybUJnZrQCCRPTsDQiT0R2yscQqP+7yAy1ohB47v7OToKBlY3NfNCCPRy0yWLWsfp/vWYCxSIAgQ/WVOH0Qj1JM7dVu3UOUiXxIHNxZh5xTCccsNI2G1OlObWoCSnGodzanA4uxpl+bWI7xeBObeMxraV2fj7mwz+u6AjbBan27FIYwgA9R1iqeVc7mfmmcwTBQgm89Rh3FW3upxM2jo7h92FlR/vQUFGJWZcOhQJA6ORMDD6yLjT6YLNpJRbjT0pEYPH98Ce9QWwcD0FAQiNcL851GXH90V2mdmP0XRuIxKi3A2pNosgIv9jMk8dx002z2S+69j9Vz4OZ1djzj9GISru6I7AWq0GoZFHW5dGdDPi+NMHdESIFGSumzqwo0PoKkZ1dABEpGDNPHUY4SabZzlF13I4uxpfPb8JWTtLOjoUIiKioMNk3ktseOY/XADb9VhNDvz0ThrWLznI//9EREQtwGS+KWYSfuJm/SvLbLoqCaQuy8QPb22Dle1Jj/Hrr7/innvuwQ033ICXX34ZhYWFrX6sPXv24KyzzkK3bt3Qq1cvzJ07t8k577zzDuLj43HjjTfC5TraZzwrKwuff/55q5+bOhXOcREFCCbz1GHcL4DlBl1dWe6ecuzb2PpktbO55557cOqpp+Lzzz/H6tWr8dBDD+G4447Drl27WvxY+/btw7Rp0/DLL7/gvPPOw2mnnYbHH3/8mIS+sLAQd99995Hn/O67746Mvf322xg0aJBPfi8iIvINJvNEFHBieoZ1dAgB4ZtvvsG8efPw9NNP4/Dhwzh06BCWLFmC8vJyPPjggy1+vDv/v727Do/iWh84/p31jXuI4+4Ua4HSAjXqUHcvdbu123vb+6vbrXt760ZdqVEvtMWhFHdIAnFPNrs7vz8mQCAzG9vd7Cbv53n2STPn7MwJhc07Z97zniuuoLi4mPfff5+XX36ZV155hfvuu48777yTrVu3ArB48WIiIyN56623mDJlCgsWLACgqqqKFStWMG7cOL/+jEIIIdpHqtmIDmOUGm21S/niri4uJfSC+ZKSEvLy8sjLyyM/P5+8vDwqKysDes3nnnuO9PR0vF4v//nPf/Yc79atG3PnzuWOO+5o8bnKysr49ttv6d69O4sXL2bx4sUAuFwuvF4vF198MePGjWP58uWYTCbuuOMOtm/fTl5eHg6HgwULFhAZGdmqawZKUlISV1xxhW7bxuOOp27NmiCPqPNKvu5aki6+WK/pj2CPRQihT4J50WGMNiOxOeWvZVfnjDauI95R4uPjiY+PZ+DAgXuOVVRU7BPc5+XlUVpa6rdrnnDCCZjNTW9uPR4PVmvr/oy2bdsGQN++ffc5brPZyMzMZPPmzXtm3XfnyasN/0ZVVWXVqlWcccYZrf4ZAsFkMn6o7K2rC+JIOj/FZDi5IoubhAgREjWJDuP2qKATj9gc8teyK7NYTJgt+sFaXXU19ojmZ+29dR68VfWYY2xgVlCMVlu3U3R0NNHR0fsEyDU1NfsE9/n5+RQWFu4JjFsjJSWlybHNmzeTl5fHiBEjWnWu3U8RUlNTm7TFx8fvCfadTie1tdoOqjU1NaSmprJhwwa6d++ue2PREXwF82q9bCzmT4rDbtQkO3MJESIkahIdps7tIUrnr6DNERoBg+gYGQPiDYPvd/79D8bPPI0+Yw/yGaCb7GZc2yvY9fRS8Ko4BiZi7x2HLT0Kc5wdxWoKWIDvdDrp0aMHPXrs3eTK5XKxc+fOfYL8Xbt24fF4WnzedevWsX79ehYtWkRqairTpk1r1bjqGmasIyMjm7TZ7XYqKioALYXH7Xbz4YcfsnnzZkaMGMGiRYs45phjWnW9QPL1VMLjxycjAkxOp1FTVTDHIYQwJsG86DA1Lv1AxippNl1aRt843eNej4eSvB189sh9DDn0cKZeeBkmHzPFjl5xpF41gqI3V1O9cCfVC3fubbSYcA5IwN4nDltmNJYEB4rdHLAA32azkZWVRVZW1p5jHo+HgoKCfWbw8/Pzcblcuuf49ttvKSgoAGDo0KE4HI5WjWH3bLZeIGw2m6lvmNGOjo7m8MMP56effmLw4MEkJSXhdDqxWCz88ccfpKWlkZ2d3apr+1uEwdMZVVVRqyTG9CeT0/BJmPxBCxEiJGpqSrfAtcMqs8X+VunSryUuM/NdW0pOjO7xkvxcPG7t78yK779m+6q/OO3OB3FG6/cHMMfYSb54KGVzNlH56469DW4vNSsKqVnRaNdZE9h7xeHoF48tOwZLohNThCVgAb7ZbKZbt25069ZtT8qMqqoUFRU1ycOvqalh1qxZ5OXl8f333/Ptt99SX1/PwQcf3OLr2Ww2AN2nAV6vd5/jY8eOZezYsQB88cUXjB07ljfeeINt27ahKApnnnkmPXv2bM+P3y5GwTxu2Z/A35QImZkXItRJMN9Usd7BuIjQW5AX7iprjYJ5+WvZlcUm6wcPRdu27vN9Sd4Onr34bE76991kDhhkeD7FrBB3dE9sOTGUvL8Wtc4gtcULdetKqVtXus9ha2YUzkGJ2HNisCRHYIq0opgCE+ArikJSUhJJSUkMGTJkz/GysrI9gf2ECRO48cYbmTdvHgceeGCLF8JGR0cDUFpaSnJy8j5tVVVVujP9tbW1lJeX43Q62bZtG+effz4///wzf/31V0gG816Dpxqi7STNRojQJ1FTU0V6ByNsFuwWE3Vu2dDIX8pq9BeqSTWbrs0ZZdM9XrR9S5NjXq+bd++4ifEzT2P8zNN9zqJHDEnC2i2CojdW4d5Z3eLx1G+vpH77viUoLclOHIMSsfeIxZoagTnKhmKwaLe9VFUlNjaW2NhY+vfvD8Cff/7JU089xaGHHordbt8T6JeUlBgutN298DUvL48+ffrs07Zjxw6ioqKavGfRokWMGDGCsrIyANLT00lNTW3XDrT+oJf3D6DWyJpMf5NgXojQJ1FTU7oz86DNzu8sl7Jn/lJSbRDMS5pNl2WxmzBZ9APywv1m5hub//7bbFmxlJm33onVRy65NTmClMuHU/rReqqX7GrzON0FNVT+uJ3KH7fvOWaKseEcmIi9VxzWtEjMsVqA39Y0ncLCQgYPHswVV1zBbbfdtk9bUZE25zBw4EDS0tL2HK+rq2tSSaegoACv10tiYiIJCQksW7aMgw46aE9lmp07d1JQUMCoUaP2uYbX62X9+vUceOCBezaUMplMmEymPaUrO4rRzLwnwHX/uyLJmRci9Ekw35TuzDxAnNMmwbwfFVTU6h6PjDMshSY6uaz+CYbBb+G2pjPzjeWuWcWzs87mtDsfIinTeIGmyWYm4ZR+2HJiKP1sA3j8Uy7bW+6i6vc8qn7P23vQYcI5IBFHn3hsGQ2VdGwtW2iblJREZmYmDzzwAMcdd9yetJu1a9fy8ccfM2TIkH0CedCq0uTk5JCTk7PnmNvtZufOneTl5bFz506effZZ5syZw+GHH05NTQ2ffPIJoC2qbWz16tX069cPRVH2pODU1tZSW1vb6sW3/mYYzEslG7+TnHkhQp8E800ZzszHR0revD9tKdJPdbA5LNgjLdRVyWK2riajX5zucY+7ntL83Gbf76qu5tXrL2PqRZczdMoRPoPmqHFp2DKiKHprFZ6SAN2k13qpWVJAzZKCvccs4OiTgKNfArbMKMyJDkwO/YW2zzzzDBMnTmTs2LHMnDkTp9PJBx98gKIoPPvss3v63XbbbcTHx3P99dc3OYfFYiEjI4OMjAxGjRpFcXExs2fPZsWKFXg8HjweD9OmTaNPnz57ylcCLF26lBkzZgCQmJiI1Wrl008/Zdu2bYwZM8aPf0itFxOjv+jZXWg4FyPaSNJshAh9Esw35QIqgOj9G+Ii9HN5Rdus21lh2BaT6KSgyrhddE7JWU3+2QFQkpeLtxU12b974Sm2LF/C9KtuxGwx/pizZUWTcsUISt5dQ+3aklaPt03cULuqmNpV+84b2HrE4hyQgC07GkuSE1OEldGjRzNv3jxuu+02vvjiC6xWK4ceeih33XXXPhtV3X333eTk5OgG840pisK7777L9OnTefPNNwE499xzOe200wAoLi4mLy+PFStW0K9fPxISEqiqqsJisXD00Ufz9ddfk5aW1uHBfGxsrO5xd27zN3yidUw6aykaSDAvRIiQYF5fETrBfLxUtPGrVfk+gvkkBwVbJZjvamIMK9n4TrHRs+6Pebx45QWccfd/iUpINOxnjrSSeO4gKn7YRvl3Wzpsk3rXpjJcm8r2OWZJi6DXwEQ+fOxNrCkRmKKsKOamC21bu7vs2Wefzdlnn93keEJCAgkJCQwaNIhTTz0VgPLycvLz8znkkEM4+eSTycvL27MgtiNYrVacBrPFri2t/3sijJmiojDZDCexCowahBDBJcG8vmKg+/4H42Vm3q+qXR7cHi8WneAkOrFjc3JFxzCqZFO43Xjxqy+VxUU8N+scjvvHv+g1aoxh2o1iUoiZko0tK5rid1bjrQ6NFC93XjUVedVUsG3PMVO8g4jBCdh7xGHtFok5xgZmJWD18GNiYoiJidnnSUBNTc0+i2zz8vIoKipq9U1FW8djpG7jxoBfvysxJxrfBANtX0EuhPArCeb16SZexjplZt7fKuvcuulL0YmGeZqik7I5LJjM+gHp/jXmW+uTB+9k+BFHc8g5F+/ZCVWPo288KVeNoPjN1bi2heaTIW9JLZW/5FL5y96UElOEBcegRBy947GmR2KOtaNY215JpzlOp5OePXvuU2ve5XLtWWi7+1VQUKC7SVV7+Azm167167W6OktCgq9mCeaFCBESzOvTDebjI2Vm3t8KKup0g/mYBJmZ72qyB8YbBp9FbZyZb2zpV5+zbeUKTv3P/TgiDfOAscQ5SL5kKKWfb9y3Mk0I81a7qV6wk+oFO/cetJlw9kvA3k+rpGOJd6DYW1ZJpy1sNhtZWVlkZWXtOebxeNi1a9c+s/j5+fnU1+uXpW0Jo3x51evFUyQLYP3JYjwzX43kzAsRMiSY16cfzEvOvN9tL6mhT2rTRY8xSRLMdzXpfeN1j7vr6ylpQSWblijatoVnLj6TU+64n/Q+/Qz7KRYT8cf3xt49hpIP16G6wnCzOJeXmhWF1Kwo3HvMBPY+8Tj6xWPPisac6MTk1K+k4w9ms5m0tLR9SmiqqkphYWGTevg1LdzwKSkpSfe4bBjlf+ZEw5l5mZUXIoRIMK9PtzylVLPxv3W7Kjikf0qT45Jm0/UkZerPlhfnbkf14yZFXrebt2+7ngmnns2Y40/yvWvs8BSsaZHarrEFnSBY9ELdmhLq1uxbuceWHY1jQCL27jFaJZ1IK4opMAG+oigkJyeTnJy8p3Y+QGlpaZM8/IqKpqlOKSlNPy8A6gsLdY+LtjPHSzAvRDiQYF6fwcy8BPP+tny7flUMq91MVLydykDV/xYhx5+VbFri13deY8uKpZxw8+1YbcYblVlTI0m5Yjgl76/bd5a7E3FtrcC1X/UoS7JTy8PvGYslJQJztE23ko6/xMXFERcXx4ABA/Ycq6ys3Ce4z8vLIzU1Vf9nkMWvfmeRmXkhwoIE8/pkAWyQ/L7ROMc1OTtagvkuxGGwKZs/8uWNbFu5nOdnncvpdz1MfFq6YT+T3ULiGQOo+HUHZXM2+W3X2FDmLqih8sftVP64fc8xU4wN5+AkLcBPi8QSYwdL4CrpREVF0adPH/r06dNs35rlKwIyhq7MbFzSVYJ5IUKIBPP6dCPMOMmZ97vCSpdhecrk7Gg2LeucM6FiX46IwFWyaU5tZQX/u+ZijrjsWgZOOtRnYBo9IUMrX/nmKjzlroCOKxR5y11Uzculal6jNQwOC86BCTj6xGFLj8Ic50CxBa6SjhHXxg1BvV5XYEmSYF6IcCDBvD7dnHmr2UR8hJWS6rZXYhBNlVS7SI5uuuA1OVt/N1DR+WQNSjAM/tpaY761vnr6ETYvW8yRl1+LyWz80WjPidHKV769hroNpUEZW0irdVOzeBc1ixvFdxYTjr5xOPolYMuMxpLgQHEErpKOqqpUfDc3IOdurRM2b2JNXdMniqOdTl7NzmnVuVRVZdz6dVTorBk5PiaGexqeJi2uruYfebmkWa08mp5BUsOux6qq8mJxMRf5rhdvyNpo4fJ+dho1CCGCT4J5fduMGronRlJSXRrEoXR+GwuqdIP5FAnmu4z0PvqVbOpddZTtzA/aOFb/9hN5a1dz2l0PExkXZ9jPHGUj6YLBlH+7hYoft7Vr19htZXkc+OwpPvvMHHwEj0y/te0XAa794h5+37qU+bNm7zk2Z81P3PrNfxmRPpAnj/k3ETZt3UK1q4Z3ln/B+QfMbNvF3F5q/y6m9u9G8yImsPWIxdk/AVt2DJYkByannxbaer3g53r2bVHn9bKhro5xEREMc+y7BiTT2vonu1vr66nwepkWFUXP/dZ1DHTs/cy8fWc+mVYreW43zxYVcltqNwB+rmpH9UiTyVcwv7ntJxZC+JsE8/ry0GroRu7f0D0pkiXbSoM+oM5s/sYixvZsOnMUEWsnItZGdVnXS2foaowq2ZTs2I6qBrcsZFnBTp6ddTYzbr6DnKEjfO4aG3t4d2zZ0RTPXota07ZdY2PsUVw5/izdtp2VRcxe8SVJEfo3Oy01b8ti3v/rKzJjuu05Vu9xc8Oc+xmTNZSFO/7i9aWfcMmYUwGY/dccEtt5zSa84NpQhmvDvoveLemROAclYu8eizXZiSnShmKQcmXEU17uz5G22eq6OtzAKXFxHB5tvLlVS/1dWwvARYmJDHboLxCv8XrZ4HJxX053fq+u4ttGFYDeKyvlrm6GAblPlm7dUIxvQDa16aRCiICQYF6fCqwDhu/f0COpSXwv2unzZXlcM7WvbltKdjSbV8hGMJ1dTJJ+oBKsFJsmvF4+uOffHHD0CUw64zwUH7vGOgckknrlCIreXEX9jspWXyrWEc2Nky7Sbbvl64ewW2xtnyEH6twubvnm4SbHN5Vsp7yukv8edQsP/fISy/JWA1pqxldrf+aNkx9q8zVbw51bRUVuFY1r6ZgTHVqA3yMWa7dIrZKOxfj/QV2IVLJZ1RB897f7Z5+Mv+tqMQN9fFRbKmt4IhFrMhFnNlPa8P36ujqSzBbizOY2XduWmeGrWYJ5IUJI4OqMhT/dfcF7SjDvd+sLKnF79Gdfk3PaP7slQp8jUn9eIVBlKVtq4ecf8eY/r8NVU+2znyXBQcqlw4gc3c1nv9bYXpbPu8u/5OwRx5MWndzm8zw5/w02Fm8jPXrf+uyltdpsdpwjhnhnLKU12vc/bPydCTkHYDF13FyPp6iWyp93UPTq3+Tfv4Adt/1GwcsrDftX/vxzEEdnbGVdLTEmE9ltSKnRPV9tLX3sduw+biZ38wBqo3SvN0pKOCO+7U9XrJmZRk1FQGg8ChFCABLM+7JO72B3CeYDYleFfglKWQTb+TmjrZgM6pcXBriSTUvs3LieZy4+m52bfFdLUawm4mf0If6kvijW9n+0Pj7vNaxmK5ePO7PN51hftIWn/3iT6f0mc2DOSN0+HtWDt1Eq05vLPuOM4ce0+ZqBYk3Rf3qjqiqlb78T5NHoW1lbS4TJxHnbtjF63VrGrVvLZdu3sbJhxr61/q6txaWqnLplM6PWruGg9eu4IXcHW1x7Uw9jG2beyz0eSj2ePbPzBR43fezGM/rNsWVmGTXJrLwQIUaCeWO6M/OSZhMYq/L0J3pScySY7+yyBxlX2ija3rEz87u5XbW8cfPVLPziY1TV92rXyFGpJF82DHNi21MtCqtK+GDl15w05AgSI+LafJ5bvn4Yp9XB/029uklbnEN76lVWW0lJTTlxzhjWFW4mKSKeeGdsm68ZKPZecbrHveXleEMgZ77O62V9XR35bjcuVWVmbCwTI6P4rbqa07duYUVN63YQ3upyUe71ssnlItJk4uS4OEY4nXxVUcEpWzazo14L6J0mEz1tNh4uKOC9slIGOxy8X1rKSbFx7fp5rMZpNhLMCxFiJJg3phvMR9otJEe3fbZD6Pt5XYHu8YhYO/FpEUEejQim9N76gWN9bS1lBaFVzvqn117ko/vuwF3ve1G2LS2K1CtH4BjYtpKAby77FJennnNHntim9wO8s/wLft+2lNsmzyIlquk4esRnEm2L5B9z7ufLNT8ytFs/Xl78IeeNmtHmawaMCezd9VPualYap98EU4HbzaiICP6ZkspbOTnclJLKg+npvJqVjaqq/LdQ/zPOSInHwyink0fTM3gpK5ubUlJ5MiOTh9LTKfd6eaZo71qiO1K7sa3eRZLZwgUJifxWXcXEyEg+Ky/j8/KyZm9A9fhIs5FgXogQI8G8Md1gHiRvPhA+XZpr+Asns5/hluKiE0g0qGRTtGPbvknAIWLT0kW8cNn5lO3yXWrb5LCQdPZAYo/s3qpPWrfXzRtLPmVCzih6J7auLvluxdWl3PPjsxyUM5JThx2t28dqtvDgkTexJPdvRqYP4pgBh5JfUUCvhGzeWPoJczfMb9O1A8GWEY3JoZ/DXz7nqyCPRl+mzcbLWdlN8tSHO50cEhXFn9XVVLaifOYwp5PXs3OYFr3v08kjomMYaLczt1HVmgMiIpjbqzdv5uSwtKaGKVFRPFFYyE15edyYl8eTRa3ffK8jgnlFUZyKosQF6vxCdFYSzBsrxmDzKEm18b+S6noq6/RL+2X293OJPBFSYhL1c6GLOqqSTQtUl5fy4pUXsGbez83OekYfnEXyhUMxRbVsUeTcDfPJryzg1KH6QXhL/N/3T1FTX8t9h//DZ7/p/Sez5MpPeHnmfXy6ai6nDTua6768h1u+fphz37+Jd5Z/0eYx+JO9p/7TG1VVKf/00yCPpvVybDZUYEe9fzYc7G6zUeb1UuVtenPwcXkZJ8TGMqeinOuSkrkmKZkvWpmGpDidWFNSjJoDOTM/FchTFOWSlnRWFCVTURT9Umhae3dFUWwGbd0URZmpKEp6G8e6//kiFEXpqyjKNEVRLlcU5XlFUZYpitLLH+cXwhcJ5n3TnZ2XRbCBsXanflm/jL5x/tlYRoQke4R+kBvKwfxunz/2AF8/+xjeZmZc7T1jSb1qJDaDVJHGPl31PXaLjam9x7dpTL9uXsQHK7/m+gnn0z3eZ3nBPTxeDz9t+pODe4zhyzU/8eQxt3PGsGP49O/Q2FXVKF/eU1yMqrPbakfZ7tJPvyprqNZV14onTV5VNQz+d5+v1rvv+VbU1NDTZiPSZCbf7WaAw8FAh518d+v2QLD37OGreX2rTtY6hwN24NvGBxsC5V6KokxWFOVCRVEeUxRlIbAVeF9RFKPSS08A2xVF6afTNgh4D50S1HoURempKMqbiqK8pyjKF4qi/KgoymJFUTYqilKOtjfNGuAb4EngZMABXNuS8wvRHlJn3re1wLj9D0qaTWB8szKfUTlNZ+HtEVZScqLZuanjF7kJ/4qItWEy2CCosIPLUrbUyh+/I3fNKk6780GcPjYKMsfYSL5oKGVfbaLylx26fWrqa/lu/TwmdR9NpK1ta0Xu+fEZrCYLpbXlPPDzC3vHuXMd5XWVPPDzC8Q6ovdsEAUwZ+3PTOt9ECU1Zbg89Qzp1pcKVyW/b1vWpjH4lVkxvAmqWRYC42vw0K5dvF5awi+9ehPTqLa7W1WZX12FGehh050k1nV9Xi5LamqY27MX5kYbl1V4PCypqSHebCZhvxryb5WWcFliEgAeVcUMqCh4WpmuZu/dx6iphgDt/qpou7NNB35RVXWjoijXA7cCEWhBcWPbgNXAs2iV5xKAfRbYNAT4k4CNqqqu0bmka7+vzdmENgFqBnKBErSn96XAGcAE4CC0TSfzVFVtWwkjIdpAgnnfdMtTSppNYLz5x1ZuPrK/7o6bOYMTJZjvhHJ8VLIJl2AeoCRvB89efDYz/3UnmQMGG+8aa1aIm94TW04MJe+tRa3bd0b/h42/U11fwxF9J7V9LDXl1HvdPPX7m7rtT8x/ncyYbvsE87NXfMnTx/6H8jotD9tsMmNRzLh10jiCzZYdg8mmv/FR2eehkQYEcGBkJP8rKebhgl38p2HXVVVVeahgF9vr6zk0KoroVmzgdGBEJF9XVPBicRGXNAToLlXl3zvzqVa9zIiJ3+fvWYHbTa2qktVwwxBlMlHp9eJBJaoFdeobs/UyzAxZjVbSPhCmAd2B3buVqWhB+nlAPlrQnIk2m36BqqrfNj3FPqYDMWgBv57dP0ezjy0URYkGaoHTVZ28OkVRxgETVFWdZ/B+M9oNSb2qqrKlufA7CeZ9002zyU6MwKSAN/TW5oW1yjo3BZV1pEQ3LemXMziRPz+TIgqdTZpBJRtXTTUVraz+0dG8Xjez/3MLY084mYNOORNFMQ6gIgYnYe0WSfEbf1Ofv3dDqp82LQBgXNawNo9j/qzZusev/eIeft+6tEn78vw19IzPIsoegYr2oVZRV0lpbQUx9o6fuHAa3PCpXi8V33wT5NEYOzAykkmRkbxXVsbCmhoyrVbW19WR53aTbrFwW0rqnr4vFxdR7vFydbLxZmDHxcbydmkJjxUW8nVFBUkWC6tqaynyeBhgt3NlQ4C/2zulJZwaF7fn+wEOB88XF6Gq2n+3hr23YTAfyNJBu7dB3n2N3TlG76uqWgmgKMrQhmMtecRxKdqs+7uKovShIZhu1J69+6uiKP0bHTehpfqsVVW1quHYOiC1YQyGF1QUpbmo4CzgjRaMXYhWkWDeN91g3m4xkx7nZHtJ6+oGi+b9uq6QE0c2raKQkhODM9pKTYV/FpCJ0JCYYVDJZvu2II/Ef/74aDZbVy7npH/ehdVHEGVNcpJ82XBKP15P9WItQ+DXLYtIiUokO05/Td5zf75DWW0FN066SLe9LV5e9AFXH3gOANH2SLJj07j7h2fYXp7PuKzhfrtOWxkF8+6dO6GVueCB9lh6Bs8XF/FJWRl/VFeTbrFyYUIC5yckEtdoVv7NkhJy3W6fwbxNUXglK5snCgv5pqKCzS4X2VYbZ8bHc058Ao79Zttz6+sZG7H35usfySn8Iy8XgDuTW7czsb2v4ZrSv1t1ohZSFKUncPx+h/UC492/dH3enTSc7zBgnaqqpYqivAIcZ9D9VYPjo4GFDf99VcPXeoNxXQUcApxgcC4z4ARCp0SU6FQkmPfNcKFPz6RICeYD4JXfNusG8wA5g5NYPT8vyCMSgRRtsLFSOCx+9SVv7WqeveRMTrvrYZKyjMtLmmxmEk7uhy0nhr/e+I2tpbkc6SPF5pVFH7K9PN9vwXytuw672brPQtl7D7+BG+bcR2pUEtccdK5frtNW1vRILPH6f0cqf/klyKNpnt1k4sqkZK5MMg7SAb7r1btF54sxm/lnair/TE1ttu+9afveAA50OPiiR88WXacxU1QUNuOylIGamf83LYtHds+UN/fI6Cb2LfBxOlqKSz2Aoiir0Wb3e6CtAShTVXV4Q5u5oW1POoyqqvqPuxooinJ8Q7+PW/AzCOF3Esz7Vom20KXJNFnvlCh+Xtf62r3Ct+U7yqit9+CwNs0t7X1AigTznYxRJZvCMA/mAVy1tbx6w+VMuWAWw6Yd5fPxfNTYNEZmHE5u5h94Soyrsxil0LTEI9NvbXLMYbFz3xH7lq+c1GM0f172QZuv40/OQUmGbcWvS7ZCINj7GC5+BfD7imNFUQ5ASz+ZD+iVcDpFUZTd/yh2rwqfrCiKF1DQAm878LaqqiUNpSrPp1Fuv6qqe3LZFEUZBPQDXkBL7fkCuFxRlP6qqq5WVdXD3icA+481E23xrdHPojdr/4SqqlfpHBfCb6Q0ZfP0VsEzPCsuyMPoOpZvL9U9njUgAWd0y2p1i9AXFW/HZFBytCiMFr82Z+5Lz/DJw3fjcftOEbNlRmu7xvaTfRV2M0qx8VRW4lqnW59AtJO9n14VRwDK0EpB+o2iKHbgRbSqME8YdHsMbRHrs8B/0dJczmp07HngKSBV0RaqPAuUA58ZnO8MtED/64bvv0ab8b+gBUPeHeQ/BQxo9Pq44XjjY6MajlUjRIBJMN+8P/UOjtQpoSj849V5m3WPm0wKvUc1/7hZhIfswcaVbMI9zWZ/Gxb8zgtXXEBFMztxmiKsJJ03mJhpOdqcYxdmSXRg7aafTVE1//cgj6brcPQ3DOaXo58v3h4qWjB9C1Bh0KebqqpRu1/AYuCjhu8jVVU1o83MrwF6AcOAm9FuPvahKEoaWn77O8Du+rAVaDcSVyqK0lz+U1sWbXV8SSjR6Ukw3zzdBSuZ8REkR9uDPZYu4YsV+dQ3bIqyv75jJJjvLNJ66VeyqauuajboDUdVJcU8f9m5rFswv9ldY2OmZJN0/mBMkV33SZRzsHGKTdXvv4OPtCXRds4hQ42aVvj7WqqqulRVvUlV1Rdb8bZ1wD5Bd8N5VFVV1wGHos3263kAbSHqvTrHa4DnjXaM3c/lwKpGr+Mbjjc+tqgF5xHCLySYb57h6vOR2TI7Hyh/7WgyqQJAt56xxCQ5gzwaEQidsZJNS3z60N3MfekZvF79G9bdHH3iSblyBLbs6CCNLLREjEwxbEv71230nvsdyddf76vyimglxeHA3s/wz3NBMMfiw0pgoKIoune6qqouM6gFfz1wJnCvqqor93tPCXAOMBl4s2ERrJ7d13wYSGv02r2YpfGxMQ3HWr65gBBtJMF883YBG/UaRmbHBXckXcgLP+v+kQPQZ7TMzncG0QZVSsJps6i2Wvbtl7z2jyuorTTKLNBY4uwkXzKUqAP1S1V2VtbMKKypvguWWNPTSbroQnp++gk9Pv2ExAsvxJKWFqQRdk6OQYNQLIZ1MTo0t6khvx7gD7S0mgNa8d5L0GbffwVu1+ujquqnwF3ATOB7g5Sb3TNJ19Ow02vD6+SG442P/bnfe4QIGAnmW0Z3dl7y5gPny7/yqa3XTzWUVJvOwRahHzQUbe/8wTxo6wKeueQscteu8tlPMZuIO7YXCaf1R7F1jY/syANaVxfd0bcvKTdcT58fvif79deIO+kkTDExARpd5+UcZrhZWSkG+64Eg6Io2cDviqJEov0+rsW4bvx+b1WeQ1sUuxS4EBijKMoItLKUoG0aNUBRlGFoi21vByYBdytNS1DlAvE6r7cb2vXabm71DyxEK3WN3wztpxvMD82IxWqWvM1AmbehSPd4QlokSZn6KRoiPMQkOXxUsulci1998brdvP2vf/D7h+80m0cfMSyZlCtGYEmJ8Nkv3ClWExHDfddp9yVy9GjS7vw/+vz6C5lPPEH04Yeh2FqSBi2cwwzz5f8EfOeFBU5/4BcgB8hq2A32G+B8RVEiABRFGaUoSpzOe1XgGeB9tFz6AcA8tEW0bzX0eRVtM6ylwDRVVf8POAo4o3G6TkMu/eiGcaQD3Rq9ds++d9vvlYWWEjSwvX8IQvgiwXzL6AbzdquZgWky+xMoj35rPBHUb1zrZu5EaMk2KDkInaPGfGv99u4bzL7zVurrjGvMA1hTIki5fDjOoW0PdkOdc1AiJkf7t0Ax2WxET5tK5mOP0efXX0i76y4ixo4Fk/zaM+JjZr4jUmx237V+h1ZF5nz2lop+HEgGdm+ScCawZXdw35iqqktVVT1JVdUytJrycQ3nntDQ5VC0PXecwIcN75mjqur+2wunoKXp/AL81vDfu19HNvT5Vef1G/Boa394IVpDPtVaZjkGtWIl1SZwlu8oo7Tapds24MA0rHZZVxSujCrZ1FZWUlVSHOTRhIbtK1fw3KXnUJy73Wc/k91M4un9iT2mJ3TCJ4MRo41v1AtrCpt9gqHHHBND3MwZ5Lz6Cr2/n0vKP27A3r9/e4bZ6VhSU7F2M/yzD0Ywv/vxye5Fpru3Ql6NVhv+deAhAFVV5wJzgFsVRTkaOBhY23hzKLT4Zp9/IKqq1quqWqaqak2jNpOqqh5VVWtVVdX/haO9d7uqqlZVVWNUVY1XVTVp9wut1CWNjzW8YlVVdaiqelgb/0yEaBEJ5lvGjcFKfqloE1hfLNff8dUeYZXZ+TCWkK6/uLGr5Msbqauu5OVrL+WvH79rNmiNPiiD5IuHYo7pPCkk5gQHjl5xum0bSjdwyOxDOOKDI/hk/SeU15W3KbC3dutG4gUX0PPjj+j52WckXnwRlvSutcBYj3O44aw8GOy34me2/b6+hzYrP0VV1T+A/wHXKYqyezb+fCAfbXOoEWjBfmMWfO9yb93vqyFFUQYrijJGUZRhiqL03/8FxDb0a9LWkI8/pOH9EjCIgGj/s8yuYz7a3f8+RkhFm4B64OvVnDY2G5NOTemhh2Ty1887/L+NiQi4KKNKNl0wxUbP1888yuZlizny8uswG1cXwZ4TQ8pVIyl+ZzV160uDN8AAiRprXI3muWXPAZBblcttv90GwKDEQcwaNouxaWNxWPT/Tvli79OblOuuI+W666heuJCyzz6n4uuv8ZSWtmn84cw51DBffh2gv4DJv3YH1TYAVVVfVRTldVVVd+fqXwdkA0sa2vMVRRkP3ISWhvPcfudz4Xv31d3VcVryF+e/wESgruGl91tnJ/CjwfutaKk9x7N351kh/EZpy8xGF3Us8Ilew5i7v2NXhe9cV9F2n1x+EMOy4nTbPntiKVtXds20jHB22dOHoOgsgP3+5edY8pXRLuxdT0xyCqff9TCRcb4n9FSvSvl3W6j4YVvY3twqNhNpt4zF5Gx681JdX83Yt8b6fP+hWYdy3uDzGJw0GIup7fNUqstF5S+/UPbZ51T+8ANqM+sYOovu775jlDP/BnBWkIcjhGgFSbNpOcOcQcmbD6x756w2bBt6aFYQRyL8ITbFqRvIQ9eoMd8a5QW7eHbWOWxaushnSoliUog9rDuJ5wxC0QmGw0HEyFTdQB7gq81fNfv+77d9z1lzzmLU66O454972FC6Aa/a+gIsis1G9JQpZD76CH1++5W0e+8hYvz4Tr1w1hQdjWPwYKNmw40ThRChofN+OvnfLmCDXoPkzQfW7xuLKKzUnx3LGZRIfLfOXaqvs8kebFzJpkjSbJryevnw3tv58fUXUZvZNdbZP4HUq0ZgNdhdN2QpEHWQft66V/Xy4MIHW3wqL17eXv02x39yPOPfGs8Ly18gvyq/bQtno6KIO+EEcl7+H71//IGUm2/CMbDzVRmMGD0axWxYUGBuMMcihGg9CeZbR3/zKMmbD7hnftS9jwK03HkRPtJ66leyqSkvo7qsNLiDCSOLv/iEN269jrrqKp/9LPEOUmYNI3JM+CwQdw5KxJqsf1O+ZNcSKl2VbTpvtbuax5c8zrT3pzHt/Wl8uO5DyurK2rZwNiWFxHPPpceHH9Dzi89JvPRSrJmd47Mn8sDxRk076MDNooQQLSPBfOvoBvNDMmJxWOWPMpBe+nUTNa79y/5q+o1Lw26wm6gIPQlp+pVsZPFr83ZtWs+zl5xF/sb1PvspFhPxJ/Yh/qS+KGHw2RR9sH66nKqq3PfHfX65xs7qndw+73YmvDOBUz8/lR+2/kCNu6ZN57L36kXKNVfT+7tvyXnrTeJPOw1zXJxfxtkRIseNM2qaS9iuwhCi6wj9T/nQYrh51ITeScEeS5cze6F+/W2r3Syz82EkKt6ue1xSbFrG7XLx5i3XsOCzD5udYY4clUryZcOxJLa+0kuw2HvGYsuK1m3bUbmD1SXGa2ba6u/iv7nqh6sY8+YYrph7BUt2LsHt1Z8saE7EyJF0u/3f9PnlZzKfeZqYo45CcYTun/f+LCnJ2Hv3NmqWFBshwoAE862zHCjUa5gyIDXIQ+l67p2zCrdBzvDwqdnYI2V2PhzYDBY5Fm2TYL41fn7jf3xw7+246w33uQHAlhZJypUjcPjYdbcjRU/JNmx7fPHjAb/+T9t/4uyvzmbE6yP4v/n/x/rS9W1bOGu1En3IIWT892Ft4ex99xF50IFgnIseEiLGGs7KgwTzQoQFCeZbx4O2HXQTU/qnoFMKXfhRbb2XH1bt0m2zOS2MPDwnyCMSrRWfFoFi8A9F0mxab8uyxTw361xKd+b77GdyWEg6ayCxR/UAg0pCHcHeO85wk6ji2mLmbJ4T1PG8t/Y9TvjkBMa+NZZnlz1LXmVe2xbORkYSd/xxZL/0En1+/IHUW27xVS2mQ0WONwzmV6PlzAshQpwE862nWwQ7JcbBkAz9hX3Cf275aAVeg1+uQyZnEhHbeXbD7IxyfMwOF0lZyjaprSjnpasuZNVvPza/a+ykTJIvGoIputlNL4Mi9vDuhm1PLX0qeAPZT627lqeWPsVhHxzGlPem8P7a9ymtLW1TYG9JTibhnLPp8f579JzzJUmXXYY1K3RK6jaTLy+ECAMSzLfeN2g7yzUhqTaBV1jp4qc1BbptVpuZA47sHtwBiVbpZlDJpqq0hJqK8iCPpnP58vGH+OrpR/B6PD772XvEknrVSGw9OnbywTEw0TBXvqS2hNlrZgd5RPoKagr4z/z/MPHdicz8bCbfb/2emvo2Lpzt0YPkq66k97ffkPPO28SfcTrm+I4rbWzr2RNrun5JUCSYFyJsSDDfehUYbNk8pX9KcEfSRd34/nLD2fmBE9KJDuHFfl1dfDf9Sjay+NU//v75e/537aVUl5f57GeOtpF84RCiJnXQwnEFYg8zTot7eOHDQRxMy60tWcvVP1zNmLfGMOvbWSzauajtC2eHD6fbv/5Fn19+Juu554g5+mgUp9PPI/YtesqhRk1eDH7PCSFCjwTzbaObajM4I5ZuMRJIBlpBZR2/rNOfnTdbTIw+ukeQRyRaKlIq2QRc2c48nrnkLLb+tcz3rrFmhbijepB41gAUR3AXaUYMS8ZqcGNXWF3IJxs+Cep42uLX3F8596tzGfH6CO6YdwfrSta1beGsxULUwZPIeOhB+v76C+kP3E/kxIlBWTgbNWWKUdN8oCTgAxBC+IUE822jG8wDTBkgs/PBcM07S/F49QOVfmO7ya6wIcpmEDQWSiUb//J6ee/Of/LrO683v2vsoCRSrxiB1aD+v9+ZFWKmGc/K3/vnvcEZhx99sO4DTvz0RMa+MZanlzxNbmVum/LrTZGRxB57LNkvPE+fn38i9Z+34hg6NAAjBnNSEk7jc4f+3ZQQYg8J5ttmC7BCr0Hy5oOjpLqej5foF1owmRTGHd8ryCMSzUnMjDKsZCMz84Hx58ezeetf/8BV6zvH25LkJOWyYUSMCvxkRNRB6VgS9dNJ8qvy+WbLNwEfQ6DUemt5ZvkzHP7B4Rw6+1Bmr5lNSW1J2xbOJiaScNZZ9Jj9Lr2++oqkK6/A1r2738YafcghKCbDEECCeSHCiATzbac7O39Qr0Sc1tCuK9xZ3PLRClxu/VnHnsOTyRkcmnW1u6rsQQmGbVLJJnDy16/huUvOomDLZp/9FKuZhJP6EXdCb7AEpnylOcZGzBT9WXlVVblz/p0BuW5HKKwt5M7f72TSu5OY8ekMvt38LdX11W06l617DsmXX06vr+bQffa7xJ91FubE9n2+RRnny68C1rbr5EKIoJJgvu10g3m71cyEPrIbbDC43F5e+HmDYfvEU/piCYOt7LuK1O4xuscrS4qpraoM8mi6FldtLa/deAVLvvq82VniqLFppFw6DLPB+ob2iJ3eE5Ndf7JjY9lGft7xs9+vGQrWla7jup+uY+xbY7n424tZkL+Aem99m87lHDqUbv+8lT4//UjWC88Tc+yxKBGtSytUIiKIHD/eqFlm5YUIM0pbHv8JQLsRygeS9294Z8FWbv5ANwtH+JmiwPLbDyPaoV83e+GczfzxycYgj0roOf2OsbrVbLasWMr7d93W7vOv31XI8z/9yc1HTSYhcm9w8/QP89lYUOzzvQ+dPL3V16usreOL5atZnV9AZV0dTquV8b2yOXxQP0wNGzPV1bt5848lbC0qZeYBQxic0W3P+xds2ka/bsnEOIO7aL7XqLEcc+3NmK2+a817a+opfmcNtWv8sw7S3iuO5IuG6LapqspxnxzHprJNfrlWuDi+9/GcMeAM+sb3xaS0feLBW1NDxdy5lH/2OZW//QZu3xV2og+bRubjhrvrjgd+b/NghBBBJ9OWbedFdoPtcKoKt364wnC2ccS0bFkMGyIi4/Rnegv9kGJTUlXD6/OX6JYsHZWTwZQBvXVfETYrkfbWbzRWV+/mqR/ms2DzdmwWM/27paCqKnNXbeDjpSv39Ju3YQtbikrJSojj3QXL8TQsRvV4vSzasoNoh/9nv5uzYdEfPH/F+ZQX6u+mvJvJaSXpvMHEHJYD7f08MyvEHWu8juWbLd90uUAe4OP1H3PSZycx9o2xPLnkSbZXbG/bwlmnk9ijjybruWe1hbP/ug3n8OGG/aMONaxikw/82eoBCCE6lATz7aObapMc7WCo7AYbNJ8tz2PdLv00DbPFxKTT+gV5REKP1SC9oqidlWzyyyp46of5VNXp7uXG2J7ZHDmkX5PXwPQUql31HNq/9Yulv1+9noKKKqYP7c/NR07mgomjueGIg4l22Jm/YcuesWwrLmN4VhqnjB5KjaueokotZ3rZtjyGZqYZLggOtOrSEl64/HzW/jGv2eAx5tBsks4fjCmy7bvGRh2UjjVV/6a61l3LLb/c0uZzdwa13lqeW/4cR354JJNnT+bt1W9TXFPctoWzCQkknHEG3d95m17ffE3yVVdh69GoXK/VSvTkg43e/hnaRJUQIoxIMN8+shtsiLj4tYWGG0ll9oun79huum0iOFK6R/uoZNP2mfnS6hqe/H4eTquFcT2zW/Xer/9aS6zTwYG9jcsk6vGqKou25DIoPZVD+vfa83PFOh0Mz0pDVSG3VNvNtsblIsJmI6Jh9r/KpX1cLNqygwO6d9CGTY189t97+O6FJ/E2U77S0SeelKtGYMvW37HVF3Os3XDRK2gbRLU1f7wzKq4t5p4/7uHg2Qdz/CfH883mb6iqr2rTuWzZ2SRdNotec76k+/vvkXDOOcQeeyzmuDijt0i+vBBhSIL59qkEftBrmD4kLchD6do2F1Xz6bJcw/aDZvTGHmEJ4ohEY1kDfFSy2b6tzeetqnMxIC2Fyw4Z36qUlU2FxazdWciUAb2xtnJzHpOicOv0Qzhz3Igmbe6GoNjU6MbFq6r7zLBuLiwhLTYamyU0ql4tn/s1r95wOTWVFT77WWLtJF8ylKiD0lt+cgXiT+pruOh1e8V23lnzTmuG26VsLNvI9T9dz7i3xnHB1xfwR94f1HvauHB28GBSb7mZ9LvvMupSAcxt61iFEB1Hgvn200216ZUSxbBMSbUJpuveXUpFrf4vuogYGwfO6B3kEYndjCrZVBQVUlfdtllHgLTYGM4YNwKnrXUpID+u3kiEzcroHm2bHTcpCtb9gnFVVVmTX4DZZCI9Tvt5nTYbNa56ql3a38tIm43f1m9u9dOAQCvesY1nLzqL7atX+uynmE3EHdOLhNP6o9iavxmJHJeGo3ecbpuqqlz7w7VtGW6X9Gf+n1z4zYWMfGMkt/5yK6uKVrVpx1kfPgFq/XlCIURwSDDffh9gkGM4Y1THP0bvSrwqXPX2EsM804EHpdNzRJPiQyII9KrYQPs3i9pdNaY1iquqWZW3i7E9s1s9K+/Lsm15FFfVMDwrbc/NRVZCLMu25/HewuU4rRbMJhOqyj7VdkKF1+vm3dtvYv77bzWbqx0xLJmUK4ZjSTH+OSxJTmKP7GHYPnfrXFaXrG7zeLuyzzZ+xsmfn8zoN0bz6OJH2VaxrU359fuRzR6ECFMSzLdfPvC1XsMxQ9OxmeWPOJh+WFPA/A1Fhu2HnNnfsKqKCJzIWP2KMYXtXPzaFvPWazHL+F6ty7H3pbbezefLV2E1mzhsUN89x8f3yiErIZatRaWcPHoof2zcykG9c9hRUsZPazZSUVvntzH4y7z33uLdO26mvs73JK01JYKUK4bjHKZzg2xqSK8xmL2vdFVyw083+GO4XZrL6+KlFS9x1IdHMemdSbz595sU1RS1JbBXgfsCMEQhRBBIpOkfr+kdjI+0cUj/wG+PLvZ14WsLqXN7dNsckVamnjdQSocGkwIWo0o27Vj82hYer5cFm7fTJzXJr7PjnyxZSWl1LYcP7kdi1N7zOqwWLpw4hjuOm0b/bilsLynDYbPy+Nx5fLZsFU9+P29PucpQsmP1Sp699GyKdvhez2CymUk8rb9WdtK89x9V9MRM7Dn6qVWqqnLdj9fhUfX/jYq2KXWVct+C+5g8ezLHfnwsczbNobK+xZux/Y22BkwIEYYkmPePT4ByvYYZIzOCPBRR7fJw8wfLDWenMvvFM+Kw0MpZ7sy69Yw1rGTjjxrzrbF+VxFVdS6GZvqvutHSrbks2LydvqlJHNzXOK1k0ZYdjMzJYOWOfFKiI7nlqEMorqpma3Gp38biT67qal65bhYrvv+6+V1jD0wn5ZKhmGPtWLtFEDPN+N/X3K1zmZ8339/DFY1sLt/MjT/fyPi3xnPeV+cxP3c+bq/PjaSeCtbYhBD+J8G8f9QAs/UaDumfQkJk6zelEe3z0ZJcn+k2Y47tQUr31pfZE62X1T/esK09lWzaYunWXEyKss9OrO2xs7yC9xauIMZp57Sxw33WjV+2LZfhWemUVtfSLTaaxKgIoux2SqtDe83hN889weeP3o+nmV1FbdkxdLthFKnXjEKx6P9qKa8rl/SaIFu4cyEXf3sx60rWGXVxA88FcUhCCD+TYN5/dFNtrGYTxw5rRSk34TfnvbKA6jr9AMRsNnHY+YMMNzIS/pNiUMmmvGAX9bU1QRuHx+vlrx35dE+Kb9Our/urqnPx8q8LcXs9nDVupM/SmGt3FtIjOQGL2YRX9e4pXWlSFH9XJAmItb//yktXXURlSbHPforV+N+TqqpcPvdySa/pAH3j+zIgcYBR88/IRlFChDUJ5v3nV0B3P/JTRmcFeSgCoM7tZdabiw1TBGJTIph4al/dNuE/8QY7fxa2s5JNa20rLqWm3k2v5MR2n6vO7eaFn/+ksLKaY4cPpEeycR19gPkbtjC+l5Z64rBaqa13o6oqtfX1OKxt31k1mCqKCnju0rPZuGRBmyqnfLz+Y5YWLPX/wESzju55tK/mC4I1DiFEYEgw7z8qBrPzA9JiGJ4VF9zRCAB+WlvA+4u2G7YPGJ/GwAny5CSQImL1Z6yLgpwvv26nlnbVPck47WfdzkLmrFjDjpIyn+f6ac0mtpeUEWW3UV5Tx5wVa/Z5rdtZuKdvYUUVdotlz8x9elwM63YV8vafy3C5PWTE6T+5CFUf3fcffnj1hWZ3jW1sZ/VO/j3v3wEclTBiUSy+gvmfgM3BG40QIhBkS0z/egX4N9AkcfbUMVks3VYa7PEI4B/vL2dcz0SyEvRniCed1pfSndXkrisN7sC6AhNYbPpzBu2tMd9a63cVoiiQnRBn2GdjQTFzV60nKSqCjHjjTd82F2rpJpV1LuauWt+k3aQo9ElNAmBV3i4m9Om+p214Vjqr8wpYlbuT6cMGEBfhbNsP1IGWzPmU7SuXc8p/7sceob+HwG6qqnLunHODMzDRxNScqSRHGO6voTsBJYQIL4ofNpoQ+/oKOHz/g9UuN2PunkulQQ63CKzkaBu/3TQFm8HCvJpKF+/ft5DywtBejBhu0vvEcsL1o3Tb3rj1WnZuMFyUJ8KA1eHg0mdfw+bUv1FWVZXnlj3HU8ukWEpHef3I1xmeMlyvqQbohkElNiFE+JA0G/97Xu9ghM3CccMlnaOjFFS4uG72UsNcX2eUjemXDcXqkAWx/pTZ3ziXvDjIlWyE/42fcZphIA+wsmilBPIdaGDiQKNAHuB1JJAXolOQYN7/PgN26jWcOtp/O06K1vt8eR7vLjAOIBPSozjsgkGyoZQfGVWyKd2Z3+wOoyK0DT9sOqOPnWHYXlVfxWlfnBbEEYn9nd7/dF/NTwZrHEKIwJJg3v/qgZf1GoZkxjI4I7wWu3U2N3+4gr9zjRc3dh+SxIEn9g7iiDq3OINKNsHOlxf+1Xv0eA497xLDdq/q5YRPTgjiiMT+Eh2JHNnjSKPmH4AVQRyOECKAJJgPjBeNGs4e3z2IwxB6Tnx6HuU19Ybtw6dlM+DAtCCOqPOKiNGv5x7sSjbCf9L79ueoq25AMen/+lBVlau/v5q8qrwgj0w0NrPvTGxmw/0UHg/mWIQQgSXBfGBsAObqNRw/PIPUGOPNZUTg1bq9zHjmN9w+SusdfHo/Mn3sXCqaZzKBxar/ERPsGvPCP+LTMjj+xn9jtel/hqmqyuOLH+fH7T8Gd2BiHxaThZP7nWzUvAUtHVQI0UlIMB84ugthbRYTF0zoGeyxiP2s21XFlW8tMVwQa7aYOGrWUNJ6G5cnFL6l941HMViAIGk24SciNo4Zt/4HZ7RxquAn6z/hxb8MH0yKIJmaPZWUiBSj5qcA2YZXiE5EgvnA+QhtBqSJ08dmE+sMj10fO7M5f+Xz0NdrDAN6q93M0ZcPI6V7dJBH1jlk9tN/sqF6vRTvMN7IS4Qeq8PJiTffQWxKN8M+C/IX8K95/wriqISRMwacYdRUA7wUxKEIIYJAgvnAqQce0muIsls4a3xOkIcj9Dz14wY+XrLDsN3mtHDMlcNJzPC9MY5oKtngJqh0Vz5uV12QRyPaymKzc9wN/yS1p/HC8C3lWzj/6/ODOCphpAXlKIuDNxohRDBIMB9Y/wMK9RrOO7A7DoN8YhFc185exuItJYbtjkgrx149wrAyi9AXl2JQyWabpNiEC4vdzgk3/ZucIcMN+5TWljLz05nBG5TwScpRCtH1SDQZWNXAY3oNiVF2Tj4gK8jDEUZmPDuP9bsqDdsjYmwcd+0IYpKcQRxVeIuINqhkI/nyYcFqd3DizXeQPXiYYZ9ady0nfnoitR7ZMyAUSDlKIbomCeYD7ylAN0q8eFJPLCbZoSgUqCoc+djP5JbWGPaJirNz3LXDiYqXakTNMVlMmI0q2UhZypBndTiZcet/yBo4xLCP2+vmrC/PoqCmIIgjE76c2v9UKUcpRBckwXzglQDP6jVkxkdwzLD0IA9HGKn3qBz2yE+UVLkM+8QkOjn+2hFEJzqCOLLwk9kvTirZhCmb08nMW/+PjP6DDPt4VS+zvpvF6pLVQRyZ8CXGFuNr4auUoxSiE5NgPjgeAXQjxEsP7oVBzCM6QGWdh2mP/ERFrfGmUrEpEcz4xygS0mVRrJEMg0o2Xq+H4lypZBOq7BGRzPjnnaT3G2DYx6N6mPXdLH7P+z2IIxPNOWfQOUTbDCtvSTlKIToxCeaDIxd4Ta+hX7doDu1vWA9YdIDCShdTH/Yd0EfG2Tnh+pGk9jCuud2VpWQbVLLJz8NTb/znKjqOMzqGmbfdSXqf/oZ9PF4Pl317GfNy5wVxZKI5sfZYX7PyJcBzQRyOECLIJJgPngcB3YLml002LvkmOsbOijqmPPwjlbVuwz6OSCvHXTOC7EEJQRxZeIg1qmQjKTYhKT4tg9Pvephuvfoa9vF4tRn5eXkSyIeacwaeQ6TV8Enhw0B5EIcjhAgyS0cPoAtZC3wANKnhNionntHd41mw2bg8ogi+XRUupvz3R7677mCiHfqbfFntZqZfNpQf31zDqnl5QR5h6HJG6/95FUpZypCTOWAwx97wT5xRxpujebweLvvuMubnzQ/iyNqvYkUFBZ8WULujFkVRsKfbSZ6eTPTwtm0EV19cT/7sfCpXVoIX4ibE0e2kbiiWvbmSZQvLyH0tl4heEWRdmoXJrs2Zeeu8lPxcQuK0RL/8bLvF2+N9zcoXA0/49YJCiJAjM/PBdZ9RwyyZnQ9JO8vrmPzgjz4XxZrMJg49ewCjj+4RxJGFLovFhNmi/9EiM/OhZcDEQ5h5253NBvLhOCNfuaqSLY9swVvrJX5CPNEjo6nLrWPLY1so+6Os1edzl7vZeO9Gyv4oI7J/JDGjYyj+oZjc13P39FHdKjte2kFEzwiq11VT/P3e/ZlKfinBHG32y8/W2LmDziXCargHxoPIrLwQnZ4E88G1CPhWr+HQ/in079a22SIRWEVVLiY+8D07y33X0h5zdA8OPWeAYSDbVWQMiDeuZCNlKUPG+Jmnc9QV12O26D9F2e2KuVeE3Yw8wM4PduLIdNDrjl6knZ5G5gWZ9L67N+YIM7s+2dWm89UX1JN2ehrZl2eTcW4GmRdmUvJzCdUbqgGo21mHt8ZLxoUZxI6JpWaTVupWVVXKF5UTOzrWrz9jgiOBU/ufatRciGwSJUSX0LWjjo5hODt/zVTjfFXRsSrrPEx64Ae2FlX57DdgfBon/mMk0Qldt3RlRt843eMet5vi3B3BHYxowmyxcMTl13HgST53Ct3jzIFnYlHCLyOzdnMtUYOiUMx7byytcVYc3R24dhk/adPjrfdSOr8Ua7KVhKl718jEjI7Blmyj7Hdtpt9TpRWMMUeaMUeZcVdpa24ql1c2GYs/tGBW3ngnPCFEpyHBfPD9ACzQazhicDfG9JDFlKGqzu3lkId/5K8dvh/Rp+TEcNKtB5A5QL88Y2eXkqNf4ac0Pxevx3hBsQi8yLh4ZvzzTgZNOrTF7zko4yDuOPCOwA0qQEx2E3W5dfscUz0qrjwX1iTfTyP2V7ulFtWlEjM8Zp+nToqiENk/kqrV+93ke9mn3EHxj8XET/bv50GiI9HXrHwBWjlKIUQXIMF88Kn4mJ2/bfoAqTsfwjxeOPqJX/l8eS6qqlucCABnlI1jrxzOqCNyoIv9/4xNduoeL5R8+Q6VPWQYZ93/uM9dXY0c1/s4rhxxZQBGFTgxo2KoWF5B4deFeKo81BfXs+OVHdQX1xM/oXWBtbtcuwm1Zzbd/dmWYsNVqM30myO1nHhPlQdPpQdLpIXa3FosMRYsUf59unH+4PNxWvT/rQH3A74fIwohOo3we3baOXwMLAZG7t8wNDOO44dn8NESSUcIZVe8tYT1Uyu5ekofw/xwxaQw7vhepPaI4btXVuGq6Rqz0s5o/e3ki6SSTYdQFBPjZ57GuBNPQTE1M3/j9YJBn4uHXsyu6l28u+bdAIzS/9LOSKO+pJ78t/PJfztfO6hA8rHJJE1PatW5PDVa+owlpumvTFOECW+NF0+tB3uqHZPTxI6Xd1C9vprko5Ip/q7Y7xVskpxJnNzvZKPmncAzfr2gECKkycx8x/AC1xk13nhEPxxW+V8T6h79bh1XvLUEt8frs1+PYcmcdMsBXWLHWIvDhMkgL7houyx+DbbIuHhm/usuxs88zXcgr6rw+9Pw5kxQjf8+3zr2Vg7NbnmKTkeq3lBN9TptYao52ozJaQIVyheWU7vZ92L2/e3OdTfZmv4Z7m5TXSqKRSHj/AyqN1QT0TOCmDEx1JfUY+9mp/iHYiqWVrTzp9JcMPgCHBbDdTn3A9V+uZAQIixIxNhxfgI+0mtIi3Vy0cSeQR6OaIsvVuQx7ZGfKKv2vaAuLiWCmTcdwMAJ6UEaWcfI6p9g+KRCaswH1+60muxBQ313VL3w+bXw1S2wYS58epUW3OswKSbun3g/w5OH+3/AfqR6VLa/sB3FqtD9pu4MeGIAA54aQMaFGbh2udj8381463zfhDe2u1a86tb5c/GwT1vs6FgGPD6AnGtzKPujjPhJ8Wx/cTu5r+ay5dEtlPzcvv1EesT04JT+pxg15wPPtusCQoiwI8F8x7oJ0N3bftbkXqREN83PFKFnU2E1Y++Zy8pc3wtjrXYzh5zZn6OvHEZkXOf8f5vRVz8X2eOupzQ/V7dN+JfJbObAk85g5q13EhnXTG64qwpePhoWvbz32JLX4ZeHDAN6h8XBk1OepEds6O6rUL2uGneJm5RjU4gaEAVoaW/xE+JJmp6Ep8KjbfzUQtY4bcHs7tz4xtwVWvqcKWLfX6eqV6VyRSVRQ6IoX1hO5qWZxE+Op/SP0jb+VJobx9yI1WS4gPdeoKZdFxBChB0J5jvWOgzqAEfYLFx/WL8gD0e0Va3by/THf+WdP7f6XBgLkDMokdP+PYb+47sFaXTBk5wVpXu8JC8Xr8cT5NF0PSnde3LG3f9tPq0GIHcJPNgbtv7WtO37u2DFe4ZvjbXH8uzUZ0l2JrdzxIFRX6rNkdi6NV2/4chw7NOnJezpdhSzQu2Wpuk5NRtrUGwKZse+G0KVLywnekQ0nkoPqlvF2d2JM8dJfVHLr7u/gzMPZkLGBKPmXOD5Np9cCBG2JJjveHeibbndxEmjMhmYpl/mT4Smmz9cwdXvLKW+mTx6e4SVKecM5KjLhhIRo79gNBzFGFWykc2iAspstTLhtHM4455HSOnRy3dn1Qs/3gfPT4Z6H6nVH14EW3QC/QbpUek8M/UZoqz6N3AdafdCVb168jVbtYnr1lSXMdlNRPSPoGxB2Z5a8gDuMjeVqyqJ7Nd0PUzJryXET4xH9Wg394pJ0X7jtjy7Zx82k42bxtzkq8tNQOsWAwghOgUJ5jteCfB/eg0mk8I/pw8I8nBEe326LJdJD3xPflnzT7t7DE3itNvH0md0ahBGFnjOKKlkE2wZ/QZy9gNPMPb4kzCZzb4715bDi1Phx3tbdvKXj4Ki9YbN/RL68cghj2AxhVZhNHuaHRQo+rqIup17a82XLy2n6JsiFItWH741kqYl4a3xsu25bVrpySoP21/cjupSiRsft0/fms012FPtmJ1mzBEN5SprPHirvdpC3DY4a+BZZEVnGTXPB95s04mFEGFPaS4lQASFDfgL6KPXeMGrC5i7qvXbj4uO99TpIzhqSJrhotDGNizZxS/vrqOqtK7ZvqHI5rBw4SMTdX/WTx6+m/V/zu+AUXVeVoeTiaedw4gjjm7ZG7bOh1ePBU/rdj/F4oBr/4JI45SaLzZ+wS2/3IJK6Pw+yX09l+K5xaCAOcqMt86L6tLGl3xcMqknaDfQhXMK8VR7SJ3R/A11/jv5FH5VCGZQUFA9KtEjo8m5Kmeffttf2E7yccnYU7S1MWv+sQZbso36onoi+0WScX5Gq36W1IhUPj3+U6PdXlVgNLCoVScVQnQaMjMfGlzAP4wabz1qABZTF9t5qJO4/K0lXPDKAqpdzdeY7zUihTP+M44DjuqOJQxLk2YPMq5kIzPz/tVz5BjOfeiplgXyXg98+2/43xGtD+QB3LXw9DhtsayB6T2nc82oa1p/7gBKOzONtDPTcGQ7tMo1Xm3Tp7Qz0vYE8gBF3xVR8FlBi87Z7dRuZF+TTfSQaCL6RpB2ZhrZV2Tv08fr8qJYlT2BPEDGORnU5ddhjjSTfFzr1xlcO+pao0Ae4EUkkBeiS5OZ+dChAN8Dk/Uab/90Ja/O2xzM8Qg/clhNvHzuaMb1TGzRLH1FcS3zPlzP+oXh80Rm0ql9GTI5s8lxd309j589A9XbxmRhsUdyTg8OPutCcoYMa9kbynO12fiidX64eD+49DcwG1ZS4b4/7+PNVZLt4U8jUkbw2pGvGTWXoT3RbdndiBCiUwq/6b/OSwWub/jaxDVT+hDjDK28VNFytfVeTnvhD66bvQyXu/mgNjrBweEXDuaEG0aSnB0dhBG2X5JBJZvi3O0SyLdTVHwih8+6mrPue6xlgbyqwsKX4b8D/BPIAxSsgTdm+NxU6sbRN3JYzmH+uZ7ApJi4Zcwtvrr8GwnkhejyJJgPLYuBV/Ua4iNtXDu1b5CHI/ztoyU7GHXnt/yxsajZEpYA6b3jOOnmAzj0rP4hX/UmJkm/kk2RVLJpM6vdwYEnnc75jz7H4MnTmi83CVC6DZ6bCJ9f4/8BbfoJPr7M56ZS9068lwNSD/D/tbugGX1mMCDRsAjCSuCZIA5HCBGiJM0m9GQAa4EmCZJer8rJz81n4Zb27SAoQsNhA1N55JThRNpb9sTFVetm2dxtLPt+G3VVzefgB9ulT07GbGkabP76zmv88dHsDhhR+FIUE4MmT+GgU84iKj6hZW/y1GslJ395KLCDAzj4Rph8KxikjJW7yjlnzjmsLzWuhCN8i7HF8MUJXxDniDPqMhWYG7wRCSFClczMh54dwAN6DSaTwgMzh+IIw8WRoqlv/t7J0P98w3sLt+FtwU21zWFh9PQenHP3gYw/sVdIzdQ7IiyYzPqBndSYbzmzxcKQQw/j3P8+w+GXXt3yQH7bH/BQn+AE8gA/PQBLjXPjY2wxPDP1GVIjOkfJ1Y5wxYgrfAXyHyCBvBCigczMh6ZIYDXQdDUh8MIvG7n7i1XBHZEIqIw4Jy+cPYoBaTEtWiAL4HZ5+PvXXJZ8u5XKko4tZ9lndAqHXTBYt+2lqy6idGdekEcUXqx2B0OnHsGoo08gOiGx5W+sLICPL4X13wVucL6c/Qn0nGzYvK5kHefMOYeK+orgjakTGJY8jNeOfA2TojtxUwsMADYHdVBCiJAlwXzoOgr4Qq/B61WZ+ex8Fm+VdJvO5ojB3XhgxlBinMYVQ/bncXtZPT+PxV9vpbyw+Y2qAmHy6f0YNKlp7ex6Vx1PnH0Sqo9Fk12ZIyqaEUccw4gjjsYZ3Yrdnt112ux4sGbifbn8T63SjYEF+Qu45NtLqPfWB3FQ4ctmsvHeMe/RM66nUZf/AHcEb0RCiFAnwXxoewU4R69hw65Kjnr8F+paUBlFhBdFgVuPHMC5B3bHqpODbsTrVVm/cCd//bSDvA1lARxhUzNuGkW3HrFNju/ctJ43br4mqGMJB9GJSYyafjxDpxyB1eFo+RtVL6z6DD68WKv/HgrMNm1TqSjjlJqvNn3FjT/fGFKbSoWqq0dezYVDLjRq3oo2K18dvBEJIUKdBPOhLR6tYkGaXuOzP27gvq9WB3dEImicVhMPnjSMowanYWrlpmHFuZWs/DWXNb/nU1cd+MWy5z0wQTeH/++fv2fOU/8N+PXDgaKY6D5sJMOmHUmPkQdgMplb/mZVhV1/w+yzoGhD4AbZVs4EuGYF2PXLkwK8tvI1Hlz4YBAHFX4GJg7kzaPexGIyXBR/HPBpEIckhAgDEsyHvmMw+PD2eFVmPDOPpdtKgzsiEVTxETbunzGEqQNSWx3Uu+s9bFhUwMpfAjtbP+upyZjMTZ8i/PLWK/z5yfsBu244iE5MYuCkQxly6OHEprRyQaiqanXiP70Kts4PzAD9JbEXXPa7NlNv4MEFD/La34YbIHVpFpOFd6e/S98EwxLEbwFnBHFIQogwIcF8eHgdOFOvYe3OCo554ldJt+kC4pxW7p85lKkDUjG3MqgHKM6rYuUvO1jzR75fS1s6o62c/+BE3baP7v8/Ni7+02/XChcWq41eo8cxePJUcoYMb1l9+MZUFfKWwmfXaF/DRfaBcO7n4OOpw40/38icTXOCOKjwcNmwy5g1fJZR8y5gIFAUvBEJIcKFBPPhIQH4G9Cd1nvqh/U8+PWa4I5IdJi4CCsPzBjKlDYG9V6Pl9x1pWxYUsCmZQVUlbraNZ5+47ox9dyBum0vXnkBZbt2tuv84cJqd9B9+Cj6jBlPjxEH4Ig0TjkxpHph82/aTHzJRv8PMhiGnAQnvmBYg77eU8+l313Kn/ld7ybPSAvSa04CuvYjLiGEIQnmw8fxwEd6DW6PlxOenseKHcFd9Cg6VqTNzL+PHsjxIzOwW1qRf72f/I1lbFxawMYlBZQVtL4aziFn9mPgBJ1KNrW1PH7uSYa7hXYGzugYeo4aQ5/R48kZOgKLrY21/70eWPsVfHY1VBX4d5AdYcK1MOV2w4C+wlXBuV+dy9qStUEeWOixm+3MPnq2r+o176MF80IIoUuC+fDyFnCaXsPq/HKOfeI3XB5Jt+lqTApcNLEn5x3Ug9QYe4vr1Osp3F7JxqUFbFlRSMG2SlRv858PM28eRWr3ppVs8jes5c1br2vzWEJVXGoaPUaOps/o8WQMGNi6haz7c9fBX+/Dl/8AV5X/BhkKpj8Co883bN5VvYszvzyTvKquvQfBjaNv5KyBZxk1FwGDgK7xeEsI0SYSzIeXJLTqNil6jY/NXccj38pMV1c2OD2G244eyOjuCW1KwWnMVesmb0MZeetK2bGulF1byvG6m35enP/gBJzRTWek//rxO75+5tF2jSEUJGZmkzlgEJkDBpMxYHDrNnXSo6pQvgP+eA7mP9Gpn1xwxgfQZ6ph84bSDZw952zKXeVBHFToGNttLC8e/qKvLqcB7wRpOEKIMCXBfPiZgUHupNvj5binfmNlbtf8xSj2clhNXDe1LyePziIuoo2pH/txuzzkbyonb10puetKyd9UhtvlZdZTh2AyN71x+OmN/7Hwsw/9cu1gMZnNJGV33xu89x9EREzTpw5tUl8LG+bCt7drFWq6ilnzIHWQYfPinYu5+NuLqfN07C7GwRZtjebD4z6kW2Q3oy7vYPAktq0URTkGGKbTNEdV1UVtOF8ssP8Od6qqqk0W6iqKMgmIVFVVVj8L4WcSzIend4GT9Ro2FFRy3JO/UVkX+NriIjyMyIrj2ml9GdszoV259fvzelXKCqqJT43Ubf/w3jvYtHSh367nV4pCbHIKSVk5JGblkNTwSsjIxGxp+e67zVK9sGsV/PYYLH/Xf+cNJyYLXPMXxOhulwHAt1u+5YafbsDbhXYKvm/ifUzvOd2oORcYAhT785qKojwDXATs3qDECvQFLkabJGrueh+qqjqj0fl+ACbv16dMVdU4RVFygBGqqn7c0Pc3YICqqgkN3w8CalVVDcGNE4QILxLMh6dktOo2SXqNXyzP4/K3Fgd3RCIsTBmQwgUTejAyOx6H1X+BvZ6NSxayc+N6KouLqCoporK0hKriYqrKSlC9gQ/anNExRCUkEhWfSFRCAlEJicQkpZCYmU1iVjY2hzMwF1a9ULQelr4NfzwD9a1fVNzpOOK0TaUcMYZd3l79Nvf8cU/wxtSBTup7Ev8e/29fXY4Avvb3dRVFeRQ4U1XVpIbvuwObgHPRngTUAreiFVu4ApjJ3mD9TWC1qqpnNDrfl0A6sDuX6hbgLFVVUxRFeQytpHKaqqouRVE+RQvusxre+yZwOJCjqmonWzAiRHAZ1sESIa0AuBxthr6J6UPTWLy1By/9uim4oxIhb+6qXcxdtQuAg/smc9HEHhzQPSEggX3PEQfQc8QBTY6rXi/V5WVUlRRTWVJMdVkp9XV1eOpduOtduOvr8bgavta7cLtceD0ezFYrFpsdi83W8LJjte/93upwEhWfQFR8ApHxiVisfpxhb47XA4XrYOkb8Ofz2sJWsVdtKTw3ES7/Eyx23S6n9T+N/Kp8/vfX/4I7tiAbmDiQm8fc7KvL0wQgkG/gMTjuatSWp6rqakVRCgG3qqqrARRFqdF5f01Dn8JGfXbXun0DuAqYjnZzsOcaiqI4gKOAFySQF6L9JJgPX++hzZroliy75cj+LNtWysItJcEdlQgbP60t4Ke1WhnEMd0TOGt8DuN7JZIYaWtXRZzmKCYTkXHxRMbFk9KjV8CuE1CqCnUVsH0BLHkD/v5Ym5EXxko2wytHw/lfGW4qde2oa9lVvYvPN34e3LEFSaw9lv9O/i82411y1wE3BnAIRo/iW/qIfv+/5HrvcwOoqrpAUZQtaCmh+5dVPh6IA15t4XWFED5IMB++VLTcxxFA7/0bLWYTT50xkumP/0JhZfs2BRKd35+bi/lzs5Yu67CYOHpoGtOHpTMsI5b4AAf3YUFVoa4cdq6E1V/A0regxq/pzF3D9j/h/fPhpFcMa9D/30H/R1FNEfPz5gd3bAGmoHDvhHvJiGq6J0MDF3A6EMiZagUwK4rSv+F7w8G0gqPR+fYv9fQlcLqiKPs/JpsFLFNVdaUfri9ElyfBfHgrQ6tu8zvQJAE4NcbBE6eN5MyX/sDTgnrhQgDUur28v3gH7y/eAYDTaubY4elMH9KNgWmxJETaMLWz7GXI2x28569oCN7fhlp5yuUXf38M39wGh92lG9BbTVYeOeQRzv3qXFYXr276/jB10dCLmJg50VeXq4BArxhX0GbEV/nxnIP2O9+WRv/9CHCXqqr1+00InAPE+3EMQnRpEsyHv+XApRg8rhzfK5EbDuvL/V+tCe6oRKdRU+/h3QXbeHfBNkCLv0ZkxXFIvxRmjMogMdKOzWIK39l7jwuqi6Bkixa8b50P67+DWtlROWDmPwlx2TD2Et3mSGskT095mrPmnMWOyh1BHpz/jUsbx+XDL/fV5Q3g+SAMxQIU6SyAbY9Fqqoe0HC+u4AzFUWxAKOBSrQnATFANGBtNItfpyjKAQ3vl9kmIdpBgvnO4TXgQED3N+Osyb1ZsrWUb/6WTQRF+6kqLN5ayuKtpTzcaJOyzDgnM0ZlMqF3ImazQkq0g1inFYfVjMWkdGyw7/VoVWVqiqF0G+Qvhy2/wcaftBl4EXxzboTYLOh/lG5zckQyz0x9hrPnnE1pXWlwx+ZHqRGp3D/pfkyKyajLSrQJmWAEtO39nW/4Q+wnDphn0Lb/UwEnWhUdIUQbSWnKzsMB/AI0LR8ClNfWc8wTv7KlqDq4oxICbTY/K97JwLRYeqdEkZMYQUack4QoG1F2C5nxEfpv9LoBZW86hurVjnnc2oy6xwXuWm1DpvpqLViv3AnluVC2XVt0uXMlVBUE60cVrXXxT5A+3LB56a6lXPTNRdR6wi/esygWXj7iZYanDDfqUoE2gx2UR6eKorwAnKAzM38aWp35erSyx3lAT7Syk782vP0A4HNVVc9sdL73ge77z8wDPYAYoEZVVVejvgeoqtq94XsT4JRqNkK0n8zMdx61aJVtFgEJ+zfGOKw8e+YoTnj6N2rrpeqGCC5Vha3FNWwtrtHmIRvJiHfw201T9N/4/CHaLLrovF44RKtBH5up2zw8ZTgPTHqAa3+8Fo9qVFkxNF13wHW+AnmACwhSIN8gBkhUFMXXLN4PwI86x++k6W6vAAMURdmd658OuBrSZnzmqamq6iWwi32F6DJa+shMhIfNaLMiuh/UA9JiuOv4wUEdkBDNiXX4qAfvlg2XOj3VC0+P12rRGzgk+xD+OfafwRuTHxyWcxhnDTzLV5fH0EoMB1Ms2gLVixpeegXvF6qq+v7+L7Sc/rn79Y0BNqDN6r9Pw86yiqJYFEWJ1qlisw9FUeyKosS270cSQkgw3/nMQZtB0TVzVBanjs4K4nCE8C3G6eP3veye2jXUlcMzE7SUKQMn9TuJi4deHMRBtV3P2J7830H/56vLfAJbT95IJrBSVdUXVVV9EYONB/WoqvqIqqr7L9LtBnyjqup9qqrex948+XFAOeBSFEVteBIwA8jZ/X3DsVr2rX4jhGgDSbPpnP4P7cP0ML3G/xw3iJW55azYIdU6RMfzOTMvwXzXUbYN/ncEXPgdmPR/NV054kp2Ve/i4/UfB3dsrZDkTOLpqU8TaY006lKItpFSUDcAUbQV6DnAT348bXdgrc7xdWjlJ2vZ+3PeiLYnSuM7MgcyqShEu8k/os7JA5wBbNNrtFvMvHTOAWTGNylNL0TQRTt8zCn4mKkVnVDuEph9trbIwsDt429nQsaEIA6q5ZwWJ09NecrXxlAq2mLT7cEb1R6DgCiarFppOUVRHlMUZVTDf/dAKzfZZFGLqqo7VVV9TVXV2aqqfqyq6sdALlC9+/uG1zuqqr7V1vEIITQSzHdehcBMtOoETaTEOHj1/DHER/hMaRQi4KJkZl40tvoLmHOTYUBvMVl4+OCHGZQ4KMgD882smHlw0oMMTBzoq9vtwHdBGtL+Jjd8bby17u47aZW9a63MPs5xDlpuPMChaL9fljRqD9PNJoQIbxLMd25/AtcYNfZKjuJ/547GafX12S1EYBnOzLvrtMWRouv58zmY/7RhQB9hjeCpKU+RGa1fAacj3DL2Fg7OOthXl8+Bu4M0HD0XA7uApYqiJCqKMgv4V0NbpaqqHrRSmccrihLX+I2K5gi0BbS7F+2ejLZYtk5RFFvDYtdhPq5vQmIOIQJC/mF1fs8Abxo1jsiO54nTR2A2yYSK6BiRNqNgXmblu7RvboVVnxo2JzoTeW7qcyQ4mlTiDbrzBp3HKf1O8dVlEVp6TYfcnSqK0g0txeadhrKRJWiVbM5GS7v5paHrk8DRQMl+C1W9aMUVyoBnFUUZDkwDvm5437/QcuOnA0a7E9rRcuSFEH4mwXznpwIXAj8bdZg6IJW7T5CSlaJjRNgNngzVS758lzf7bNixyLA5OyabJ6c8idPScet/juh+BNcdcJ2vLlvQAuTK4IyoKVVV84ERwH8bvveizdQfoKrqYFVVyxuO3wqkAQN0Xn2BbqqqbgR2AK8CHzRcYjHgRrsp0N2JHC2Yl4VaQgSA7ADbdcSjfdAaJpo+9t1aHvluXfBGJATw0EnDmDlKJ12iZDM85uupvegSFBNctRTicwy7/Lz9Z676/qqgbyo1MmUkLxz2AjazzahLKXAQ2q6qnZaiKBZAbUjVEUIEmczMdx0lwBH4qKJw9dS+nD4mO3gjEgKIsBnNzFcHdyAiNKleeHocVJcYdpmUOYl/jfuXYXsg9IjpweOHPu4rkK8HjqeTB/IAqqq6JZAXouNIMN+1bEcL6EuNOtx5/GAOG5gatAEJ4TQM5iXNRjSor4ZnxvusbjSj7wxmDZsVlOEkOhJ5eurTxNp9bl56Lv6t6S6EELokmO96VgLHoG3m0YTZpPD4aSMYlRMf3FGJLsuwmpIsgBWNVeTBS4eB123Y5bLhlzGjz4yADsNpcfLElCeaq6TzT0DqpwshgkKC+a7pV+B0DCorOKzaplK9U6KCOyrRJdktBh9DUmNe7C9/Obx9ms+Spf8a9y8mZU4KyOXtZjuPHvIoQ5KG+Or2AnBvQAYghBA6JJjvuj4CLjdqjIuw8er5Y0iNsQdxSKIrchjNzEswL/Ss+wY+v86wBr3ZZOahgx9qLuBuNZvJxqOHPMqB6Qf66vYVcBl7N2ASQoiAk2C+a3sWuMuoMSPOySvnjSHGaFMfIfzAZjQz75aceWFg0cvw66OGAb3T4uSpKU+RE2NcAac1rCYrjx7yKBMyJvjqtgRtIyXjPCAhhAgACebFv4H/GTUOSIvhtQvGEuu0BnFIoiuxmY3SbCSYFz7MvQNWfmTYHO+I59mpz5LoSGzXZawmK49MfoSJmRN9dduGVku+ol0XE0KINpBgXqhom3x8YdRheFYcb180loRIwxJsQrSZ4cy8lKYUzXn/PNj6h2FzZnQmT099mghLRJtObzFZeHjywxycdbCvbgVoVcJy23QRIYRoJwnmBWiPhU8B/jTqMDA9lncvHkdytOTQC/+ymhX9BkmzES3xv8OgeKNh88DEgfx38n+xKK1LF7SYLDx88MMcknWIr26FwBS6QC15IUTokmBe7FYFTAfWGnXokxrN7EvGkx7rCN6oRKdnMUk1G9FOT4+H6iLD5oMyDuKOA+9o8eksioUHJz3IodmH+upWBEwFVrT4xEIIEQASzIvGCoHDgc1GHXokRTL70vFkJTiDNijRuZlNMjMv2sldqwX0LuPUrON6H8eVI65s9lQWxcL9k+5nas5UX92K0QL5Za0dqhBC+JsE82J/m4FJwDqjDpnxEcy+ZDw9kyKDNijReVmMgnnJmRetUbkTXpwCnnrDLhcPvZhT+p1i2G5WzNw36T4O636YryuVANOApW0cqRBC+JUE80LPNuBgfOSBpsU6efeScfRNlY2lRPuYDIN5mZkXrbTrb3jrJJ+bSt069lbd9BmzYuaeifdwePfDfV2hFC2QX9zOkQohhN9IMC+M5AGT8TH7lBzt4J2LxzMoPSZYYxKdkEkxSrORnHnRBht+gE+vMqxBb1JM3D/xfoYnD99zzGay8fDkhzmqx1G+zlwGHAYs8uNohRCi3SSYF74UAIfio8pNQqSNty8ax4isuKANSnQuRhPzsgBWtNmS1+HnBwwDeofFwZNTnqRHbA+irdE8N+05pmRP8XXGcrRAfkEARiuEEO2iqAYfdkI0EoNWh95w+8PKOjfnv7KAPzcVB29UolPYdO9RKHqz82/MgPXfBX9AovM44TkYdqphc25lLhWuCvol9PN1lgq01BrjgvZCCNGBZGZetEQ52qYo3xt1iLJbePW8MUzonRS8UYmwZzGhH8iDVLMR7ffRJbD5V8Pm9Kj05gL5SrQKXxLICyFClgTzoqWq0LYr/9Kog9Nm5qVzDuDooWnBG5UIazEOH7sKS5qN8IdXpkPh+ra8swxtEmO+fwckhBD+JcG8aI0a4ETgY6MOdquZJ08fybXT+mI04SrEbnERPnbllGBe+MuzB0FlQWvekYdWove3wAxICCH8R4J50Vp1wMnAO746XT2lD0+dPhKn1RycUYmwFOu0GjdKmo3wF3ctPD0W3HUt6b0OOAhYHthBCSGEf0gwL9qiHjgTeMVXp6OGpDH7kvF0i3EEZVAi/MQ4fATzMjMv/EVRYPwVYLE317MWLUd+U+AHJYQQ/iHBvGgrD3AB8IyvTkMyY/n0ioMYLqUrhY5omZkXgWaNgBn/g4nXNdezBOiLBPJCiDAjwbxoDy9wOXALYFjjNCXGwbsXj+PYYelBG5gID9E+Z+argzcQ0TnFZcMFX8PgE5vruRXIQdv9WgghwooE86K9VOA+4AS0ije67FYzj582gutkYaxoJMpusKZC9bY0v1kIfd0nwsU/QrehzfVcBPREqycvhBBhR4J54S+foC0a2+qr01VT+vD0GbIwVmii7AbVbMI8xeaHTW4s/1fO5lJvk7ZKl8r1X9eS/UgF5v8rJ/a+ci79vIbq+rZv4FdQ5eX8T2ro9pB2zqQHKvjn3Fo83r3nrHSpHPt2NakPVfDJ6vp93v/KUhd5FU3HGrbGXgJnfwwRib56eYG7gNFoaYNCCBGWJJgX/rQMGAPM89XpyMFpvD9rPGmxsjC2q4s0CubDePHr1jIvp7xfg0cnNvd4VY56s5r//u7Cq8KRvS1EWBWeW1TPye+17WeudKlMeLmal5fWE2XTzulRVe751cXVX+29KXpmgYv52z2MyTBz3ic1uBsC/XqPyuvL6+kW1QkemVnscNxTcOQDYPJR9hSqgeOAf+EjRVAIIcKBBPPC33YChwKv+eo0KF0WxgqItBk8oQnTYH7lLg8TX66ioFo/Pvzfknp+2erhqjE2Nl0dxeenR7D2iigGJZv4Yp2bJXmtnyC+95c61hZ5eWCqnXVXaudceVkU3aIUnllYT2G1NuO+INfDqYMs/O9YByW1sL5YO/7e325mDrAa78QbLqK7wblfwogzm+u5BTgQ+DzwgxJCiMCTYF4EQh1wLnATPma9kqO1hbEnjMgI1rhEiImwdZ40m+3lXg76XxWxdoWLR+ov7H1teT3Du5l47EgHVrMWPEfbFS5s6L+4lcG8V1V5Y0U9x/Wz8I+D7HsC8vRoE6cMsuJVYVm+FrQX16gkOBUSI7Q+RQ03HK8tc3HOcB8LkcNB5mi4+CfIPKC5nj8AB6A9RRRCiE5BgnkRKCrwAHA8UGnUyW4188gpw7n3xCE4rPLXsatxdqKZ+cJqlaP6WPjlvEjSovVnuX85L5Jfz4tsctzVEMNbWvlPwKQobLo6irdnOHXOqTY5p0eFRmn0zN/mZmiqmQhrmM7KKwoceCWcN0ebmfftcbQa8oWBH5gQQgSPRE8i0D5Fe6S9xVen08Zk89kVE+iXGh2cUYmQ4DBaCB2GwfyQFBNvzYgg1uE7MI60NW3/cp0bgLGZrV8YblIUnPsF46qq8tV6NzYzDO+mnTPBqVBSo+6ZkU+MUHhygYvLR9tafc2QEJkEp78Hh90FZp9PFlzA+cDVaBveCSFEpyLBvAiGFWgLY3/z1alPajSfXHEQZ4zNDs6oRIcznJkPwzQbs6lts9u/b3fz0xYPk3LM9E/yT5Wn2SvdbCpVOXWwdc/NxQHpZt77281Fn9US5wC7WcGrQk5cGP4a6DkZLv0N+kxrrmceMAl4OeBjEkKIDhKGn+IiTO0CpgCv+OrksJq5+4QhPH3GSGIcPqtRiE7AbpRXEoYz823h8apc/mUtCnDfFLtfzllRp/KPb2txWuCOg/eec9YBNkZnmPljh4eXjnXy/CJtVn5pvof/zq9jV1UYlKY0WWDKv+Gsj1qSVvM7MAr4I/ADE0KIjiPRkgimOrTH3X8B9wOG05BHDUljaGYsV729lMVbS4I1PhFkdkvnmZlvi7t/cbE4z8sVo62Mz/LPx/HVX9WyrVzloWl2esTvvVmKtit8cXoEADX1Ks8udHHGUCujnq/C5YGnF7hYdXnUnoW5IScuG2a8CFljW9L7JbTdqWXnMSFEpycz8yLYVOBh4GCa2WAqMz6C9y4dzw2H9QvdAEO0i/HMfHVwB9IBftvq5s6f6xicYuKBaf7Zc+Hdv+p5eWk903qauW68cS78G8vrOXOolY9Xu+mfZGLjVVFsKlX5c0eI7p008Di49JeWBPJVwDnAhUggL4ToIiSYFx3lN2A48JGvTmaTwhWH9ubDWQfRKzkqKAMTwWMzDOY798z8zkptYymHBWbPdDZZwNoWqwo8XPRZDenRCq+f4PRZN/7dlfWcOtjKtjIvg5JN9Ig3kRKpsK08xPZPcsTCsU/Cya+BI6653kuAkTSzx4UQQnQ2EsyLjlQCzKAFj8OHZMbyxVUTOOfA7oT73jZiL6vZ4CPI3Xlz5mvqVU54t4YdFSovHuNkQHL7F70WVns59p0aat3w7kwnqVHGH+3fbXQzMduCzazg9oKlYeGuxcSeXWFDQp/D4LL5MPKslvR+DBgPrA3soIQQIvRIMC86mgo8DYwF1vjq6LCa+c+xg3j1vDGkxvhnsaDoWBaj9KlOugDW41U56b0a5m/38I8DbZwyuP2bNVW5VI54o5r1xV4ePcLBhGzfuffPLnRx6QHadWMdCmV1KqqqUlqrEmsPgTtlZzyc8Cyc8R7ENLuhXBFwLHANklYjhOiiZAGsCBXL0CpPPI62SNbQpL7JfH3NJO75cjXvLdqGGkKTiaJ1rEblHDtpMP/minq+WOfGaQGzArd9v2860cg0MycO0ALt7ze5+X6TmxkDrIxIM569f3i+i0V5XlIiFXIrvE3OeWgPC4f20D7q1xd7ibYre2buh3cz8fwiF2d/XEuVa29N+g7T7yg4+pGWVKoB+Bk4A9ge2EEJIURok2BehJIq4ALgC+B5INGoY1yEjQdmDuWU0Vnc9vEKVuVVBGuMwo/MJqM0m86ZM//rVm2BaY0b7vvN1aT9nGHWPcH8z1vc3P2Li94JJp/B/K9btQ2ndlWp3P1L03NaTOwJ5r9YW8+VY/YujD11sJU56918vraeB6fZyYrtoIe1EQlw5AMw5KSW9PYC/wHuBkJ0xa4QQgSPosq0pghN3dDKyx3VXEePV+WVeZt45Nt1VNa5Az8y4Tdr7zpSfxHsF9fDgheDPyARfAOOhekPQ1RKS3pvAM4DfgnsoIQQInxIzrwIVfnA0cAswGedQrNJ4YIJPZl7/cEcPTQtKIMT/mG4aWonTbMRjcTlwKlvwimvtySQV4FHgWFIIC+EEPuQYF6EMhV4FhgB/Nlc59QYB0+ePpLXLxhDj6TIgA9OtJ/JqDRRJ02zEYDFAZNvhsv/gP5Ht+Qd64CJwLVoqXhCCCEakWBehIO1wEHAv2hBxYqJfZL56pqJXDetr/GmRCIkGJYZlZn5zqnfkVoQP/kWsDqb6+0FHkKbjf8t4GMTQogwJZGOCBdu4C5gEPBVc53tFjNXTenDt9cezCH9WpSLK0KJBPOdS0JPrdTkae9AfPeWvGM12g38PwD5yyCEED5IMC/CzQa0RbEzaEFJuuzECF4+bzTPnTWKjLhmZwJFEEXYTMa7lHbiTaO6FGsEHPovuOx3bROo5nmB+9BS634P6NiEEKKTkGBehCMV+BAYADyINmvv0+GDuvHtdZOYdXAvSb0JEbEOm3FjveTMhzVFgcEz4Io/YdINYGnRJm+LgHHALYD8BRBCiBaSqEaEs0rgRrRZvF+b6xxhs3DTkf354YbJnDYma8829qJjxEb42P1UZubDV+8pcPHPMPN/EJvVkncUA5eg7QK9IKBjE0KITkiCedEZ/AVMAs4FCprrnB7n5N4Th/L99ZOZOSoTswT1HSLG4WPPOsmZDz+ZB8C5n8OZH0La0Ja8QwWeAfqibRInG0AJIUQbSDAvOgsVeBXoj1bOstnd0LITI3jopGF8c+0kjh2WblxZRQREjNPHzLwE8+EjuT+c8gZcOBe6T2zpu34HDgAuA4oCNjYhhOgCJJgXnU0x2kZT44DFLXlDr+QoHj9tBF9dPYnDB3UL6ODEXtEOX2k2kjId8mKz4LinYNY8GHBMS9+1C+0J2kG08N+nEEII3ySYF53Vn8AY4AqgrCVv6NctmufOGsXnV06QcpZBEC1pNuEpOg2OuBeuXAQjzgSTuSXv8gCPoaXUvIpWtUYIIYQfSDAvOjMP8BTQD3gSeix39AAAD2lJREFUcLXkTYMzYnn5vNF8dNmBTOidFMjxdWnRdoNg3lMP3mYLFIlgS+gJxzwOVy+DcZe1tEINwPvAYOAaWnhjLYQQouUkmBddwU7gSqAP8AItKGUJMCI7njcuHMu7F49jTI+EQI6vS4o0Cualkk1o6TYEZr4MVyyEUee0Joifi/Z07CS0TaCEEEIEgATzoivZClyMtkj2NVr4qH9sz0RmXzKety4ay2EDU5HiN/4RYRTMS4350JBzIJzxPlz6Kww+saXpNKDVi58GTEVKTQohRMD5SFoVotPaAJwD3AvcAZzSkjcd2CuJA3slsb2kmjd+38I7C7ZRWl0fwGF2bhE2g+BQ8uU7Vt/DYcJ1kD2ute9cC/wT+IAWVJMSQgjhH4qqymeu6PKGAP8BTmjNm2rrPXyyNJfX5m9mZW55YEbWiT15+giOHpretKFgNTw1NvgD6srs0TD0FBh9IaQMaO27c9Fuil+mhSlsQggh/Edm5oWAFcCJwCjg/4CjWvImh9XMKaOzOGV0Fgs2F/PavM3M+Ssft1dukFvCaTWamZc0m6BJGagF8MNOAVtUa9+9FXgQeAmQxylCCNFBJJgXYq9FwHRgPHAnMKWlbxzdPYHR3RPYWV7LW39s5a0/tlJQWReocXYKTqM0G1kAG1hmKww4FkZfADkHteUMq4D7gLcByTMTQogOJsG8EE3NR1u8dzBaUN/ibS1TYxxcO60vlx/Smy9X5PHa/M0s3loaoGGGN4fhzLwE8wERmwmjzoWR50BUm/ZR+BNtncmnSJ14IYQIGRLMC2HsJ2ASMBqttOUpgK0lb7RZTBw/IoPjR2SwfHspb/6xlTl/5VFeIynFuzksBsW0JJj3H4sd+h4Jw06FPoe1piJNY9+hBfE/IAtbhRAi5MgCWCFaLgW4CJgFZLT2zS63l5/XFfD5sjy+W7WTyrquHdh/d93B9E7RydP+6wN4//zgD6gzyRwNw0+HQSeCM64tZ/ACH6MF8Qv9ODIhhBB+JjPzQrTcLuBu4H7geLTZ+kktfbPNYmLqgFSmDkilrt7D92t28fmyPL5fvYuaek9gRhzCbBaDgv0yM982SX1gyEnaK6FnW89SgLax2nNoC1yFEEKEOAnmhWg9N9oW9e8DQ4ErgDMBZ0tPYLeaOXJwGkcOTqPa5ea7v3fy+fI8flpbQJ27a6Qj28ySZtNusZkw6AQtgE8b1p4z/Qo8DXwIyMptIYQIIxLMC9E+y9F2lb0ZOA+4HOjRmhNE2CwcOzyDY4dnUF5bz7crd/LZ8lx+W19IvafzpsFZjYJ5t5Sm9CltGPQ7EvpNh7Sh7TlTFfAG8AywzC9jE0IIEXQSzAvhH8XAw8CjaHXqrwAOa+1JYhxWZozKZMaoTEqrXXy1Mp/Pl+Xx56ZiXJ7ONWNvkZn5ljFboftE6HeUFsTHZrb3jKvRZuFfA8raPT4hhBAdSoJ5IfzLA3zW8OoPXAicDGS19kRxETZOHZ3NqaOzqXa5Wbi5hN/WF/LbhkL+zi0n3PemspgkZ96QIw76TNVm3/tMBXtMe89YBrwLvIpWejXM//YIIYTYTYJ5IQJnNXADcCMwDq205UlAWmtPFGGzMKlvMpP6JgNQWu1i/sYifltfxLz1hWwsrPLjsIPDbBTMd8VNo2yRkD0OehyszcKnDWtrGcnGPMDXaAH8p4DkLwkhRCckwbwQgecF5jW8rkPbhOoUYCaQ1JYTxkXY9iygBcgrq2HeBi2w/219EfnloR+3GQbz9aE/9nazOCBrDPSYpAXvGaO0dBr/mAe8BbyHVoFJCCFEJyZ15oXoOBbgEOBU4EQgzl8n3lBQybz1Rfy2oZDfNxZRWl3vr1P7zYZ7jtIP6D+6BJa9E/wBBZIzHtJHaPXfe0yEzDHahk7+swx4p+G12Z8nFkIIEdokmBciNNiAaWgz9scD0f48+faSalbllfN3XgV/55azKq+cbSXVdOQ//433HoVJ0QnmZ58Nf38S/AH5iz1aS5NJHwHpI7WvCa0qcNQSbrQdij9BS6HZ4u8LCCGECA+SZiNEaHABXzS8HMCRaIH9UfghsM+MjyAzPoJpA7vtOVZRW8/q/ApW5WnB/d+55azZWUFtfXCq5hgk2YTXAtiIREjqq5WI3B28J/UBxaBST/uUA1+iBe9zgNJAXEQIIUR4kWBeiNBTC3zU8LIABwBTGl4HAn7Jz4h2WBndPYHR3RP2HPN4VTYXVvH37gA/r5zVeRXsrKj16yy+ooCiNysPoVdn3mSGuBwtaN/z6qN9jUho/v3ts429s+8/od30CSGEEHtImo0Q4cUJHAQcihbcHwAEZBq4sXqPl53lteSV1ZJfpn3NK6tp9H0NBRV1LS6XGeu0sOz2w/UbX5wK2xf4b/DNMdsgOg1i0ve+otMgLhsSe0NiL61PcBQAPzS8vgfWIWUkhRBC+CAz80KElxrgu4YXaItmD2bvzP3AQFzUajbtSdUx4vZ42VlRtye43x3055fVUlrjoqrOQ1Wdm6o6NwmRPoLj9qTZmCzgiNHqtNtjtP/e/dURq/13dLeG4D0DYtIgMrnt12u/ErQZ9+/RAviVSPAuhBCiFWRmXojOJY29s/ZTgOyOHU4b7FoFdeXgqddyz01mUMyNvpr2+96slXp0xIDV+GYjROwEFgA/ogXvy9DqwQshhBBtIsG8EJ2XAmQCw4DhDV+HAb3xsf5U+E0xsLDhtaDh6w5CeOZdUZQotN8LFR09FiGEEC0jwbwQXU8UMIR9g/yhQMhPa4ewUrRZ9t1B+wJgEyEcuOtRFOVXIFpV1WEBvIYdyABygD5of/cOBK5SVfXXQF1XCCE6KwnmhRAAZqAXe2fvhzd8zezAMYUaFW1DptU6rwLCLHDXoyjKXCBSVdVxjY7dAPwbrcqSUd3SHqqq1jT0jwWeRKu65ES7eYxGW9+RSNPN0aqAfGARcJaqqlKxRwghWkGCeSGELwloM6hZaIF949fuY44OG53/laOlwmxv+LoZWIUWsK9DW4DcqSiKMgmoA+qBx9GC74vR/r/mowXgB6IF8v8FvgHea3j7xcBgVVUj9jvn42jrNYrQFvkWoz29OAw4DjgZWALkqapaFbifTgghOj8J5oUQ7aGgBfz7B/iNX+loAWJH5elXogWSZQ2vIvYG6/t/7XK54oqiVAKRBs0Pq6p6Q0O/4WgB+Hmqqr7ScOwTYJSqqpkN30eh1cKvV3V+uSiKcgdwO9pM/maddjPajL5XVdUQ23BACCFCk5SmFEK0h4oWHBeh5YwbMaGlXESjBfZZwCggpuHY7uN24LeGr1a02WBPC14u9gbrZewN3suRajHNORrtz88NPIz2/2IW2sz8jkb9ZjZ8nd/oWBTan/Fu3wFjwcemYJpNzbT/C7ir+aELIYSQmXkhhBAAKIryORCnquqE/Y6noNXAX9O4TVGUPwB1d469oijT0QJ8F/prCE4FTgEuAXbptJvRbiL+UlXV182hEEKIBjIzL4QQXZSiKJlolWXq0J5gRAMRDSk1tobXcuAtIAk4S1EUC1rq1AC0qkif7D6fqqpfNHO94Q3/+Y1emo0QQojWk5l5IYToohoq1TzYTLe/gMHAk6qqXqkoigPYAqSgVbg5XFXVn3XO7UabaW+pz1RVPbYV/YUQQiAz80II0ZW9AXyLlhbjASYDz6Hl0W9CW+cAcCJwG4CqqrWKotyMFqh/oqpqgcG5a9By6G9pdOwK4HJgKvvm488Hqtv/4wghRNcjwbwQQnRRqqrmNyxErVRVtVJRlL4NTVtUVf17dz9FUaaiv2j1NkVR8hvXpW+kvpXDkYXKQgjRBhLMCyFE13YzcJWiKIc3OhavKEo6WirmDrQZ+hzg7v3eexyQ6uPcxze89vddm0crhBBiHxLMCyFE1+ZE2wNgIXBQw7HdOfB/AONomGVXVfW2xm9UFKU7MNrgvFZgNnB1o2M3ANcDY4BtjY7n0br8eiGEEA0kmBdCiK4tGShWVbWkURrNDWgBdmXD914f7zdKp3Gi7fR6sk7bnwb9hRBCtJIE80II0bX1BkwNZSp3+1pV1b8afW/y8X6jtiSdYzcDNwHDgK37tbU2x14IIQQSzAshRJfVUGZyQMO33wPPG3S1NfTXq2W8Uee8Y9Fq19ez78LWqIavyWgVdHazADZFUbyqqi5t6fiFEEJIMC+EEF3ZIWi/By4GrsO45vzn7Jvj3liVzrGf0AJ5N/sG8xENX99j39QdC2BHm63v15KBCyGE0MimUUII0UUpivIuMBNtAygb8CUwHG22/SW0qjN/qaqqWwNeURQTkIhW0Wa1qqruZq53B3A70EN2gBVCCP+QYF4IIbogRVF6A2vR8uOPbDjmRNvk6QogvqGrChQBZWiz6Ra0SjV2IAGtCs1vqqpOUBSlT8OxuobX/r9gjDaN2s2CthB2m6qq+f75SYUQonOTYF4IIbooRVGOBtyqqn613/EItF1gDwWGANlAHFqgbUYL0t0Nr3rgRlVVn1MU5XngbPYG876q4OixoKXiXKuq6nNt/LGEEKJLkWBeCCGEEEKIMOWr3JgQQgghhBAihEkwL4QQQgghRJiSYF4IIYQQQogwJcG8EEIIIYQQYUqCeSGEEEIIIcKUBPNCCCGEEEKEKQnmhRBCCCGECFMSzAshhBBCCBGmJJgXQgghhBAiTEkwL4QQQgghRJiSYF4IIYQQQogwJcG8EEIIIYQQYUqCeSGEEEIIIcKUBPNCCCGEEEKEKQnmhRBCCCGECFMSzAshhBBCCBGmJJgXQgghhBAiTEkwL4QQQgghRJiSYF4IIYQQQogwJcG8EEIIIYQQYUqCeSGEEEIIIcKUBPNCCCGEEEKEKQnmhRBCCCGECFMSzAshhBBCCBGmJJgXQgghhBAiTEkwL4QQQgghRJiSYF4IIYQQQogwJcG8EEIIIYQQYUqCeSGEEEIIIcKUBPNCCCGEEEKEKQnmhRBCCCGECFMSzAshhBBCCBGmJJgXQgghhBAiTEkwL4QQQgghRJiSYF4IIYQQQogwJcG8EEIIIYQQYUqCeSGEEEIIIcKUBPNCCCGEEEKEKQnmhRBCCCGECFMSzAshhBBCCBGmJJgXQgghhBAiTEkwL4QQQgghRJiSYF4IIYQQQogwJcG8EEIIIYQQYUqCeSGEEEIIIcKUBPNCCCGEEEKEKQnmhRBCCCGECFMSzAshhBBCCBGmJJgXQgghhBAiTEkwL4QQQgghRJiSYF4IIYQQQogwJcG8EEIIIYQQYUqCeSGEEEIIIcLU/wPe1h8KqT35CwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 750x750 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[5,5],dpi=150)\n",
    "# 外圈 —— 男生\n",
    "plt.pie(cnt_BMI_boy,\n",
    "        autopct='%.1f%%',\n",
    "        radius=1,\n",
    "        pctdistance=0.85,\n",
    "        wedgeprops={'linewidth':3,'width':.4,'edgecolor':'w'},\n",
    "        labels=cnt_BMI_boy.index)\n",
    "# 内圈 —— 女生\n",
    "plt.pie(cnt_BMI_girl,\n",
    "        autopct='%.1f%%',\n",
    "        radius=.6,\n",
    "        pctdistance=.6,\n",
    "        wedgeprops={'linewidth':3,'width':.6,'edgecolor':'w'})\n",
    "plt.title(label = '男女生BMI评分',\n",
    "          fontdict = {'family':'SimHei','fontsize':18},\n",
    "          pad = 20)\n",
    "plt.legend(cnt_BMI_girl.index,\n",
    "           title='BMI评分',\n",
    "           loc='lower right',\n",
    "           bbox_to_anchor=(1.3, 0.6),)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1329274c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
